Publication List - Optimal Industrial Neural Systems Ltd.

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68 εμφανίσεις

Publication List


Updated May 2007


128.
D. Stopel,
Z. Boger
, R. Moskovitch, Y. Shahar, Y. Elovici, Using artificial neural
networks to detect unknown computer worms. (Submitted for publication).


127. J.J. Huseynov, S. Baliga, A. Widmer and Z.
Boger
, Infr
ared flame detection system
using multiple neural networks. Accepted for presentation at the
International Joint
Conference on Neural Networks, IJCNN’07
, Orlando, Florida, July 2007.


126.
M. Zancanaro, T. Kuflik,
Z. Boger
, D Goren
-
Bar and D. Gol
d
wasser, A
nalyzing
museum visitors’ behavior patterns. Accepted for presentation at the
11
th

International
Conference on User Modeling (UM 2007), Corfu,
2007.


125.

L. Zhu, D. Meier,
Z. Boger
, C. Montgomery, S. Semancik, D.L. DeVoe
,
Integrated
microfluidic gas senso
r for detection of volatile organic compounds in water supplies.
Sensors and Actuators B
, vol 121(2), 2007, pp. 679
-
688.


124. D. Stopel,
Z. Boger
, R. Moskovitch, Y. Shahar, Y. Elovici, Improving worm
detection with artificial neural networks through fea
ture selection and temporal analysis
techniques,
Transactions on Engineering, Computing and Technology
, vol. 15, October
2006, pp. 202
-
208.


123. D.C. Meier, J.K. Evju,
Z. Boger
, B. Raman, K.D. Benkstein, C.J. Martinez, C.B.
Montgomery and S. Semancik, The

potential for and the challenges of detecting chemical
hazards with temperture
-
programmed microsensors.
Sensors and Actuators B
, vol. 121(1)
2007, pp. 282
-
94.


122.
Z. Boger
,
Analysis of bio
-
informatics data by large
-
scale artificial neural networks
.
Pro
ceedings of the

9
th

Israeli Bioinformatics Symposium
, (Abstract), Ramat
-
Gan, Israel,
October 2006.


121. D. Stopel,
Z. Boger
, R. Moskovitch, Y. Shahar, Y. Elovici, Improving worm
detection with artificial neural networks through feature selection and tem
poral analysis
techniques. Presented at
the International Conference on Neural Networks
ICNN 2006,
Barcelona, Spain, October 2006.


120. D. C. Meier, J. K. Evju,
Z
.
Boger
, K. D. Benkstein, C. B. Montgomery and S.
Semancik, Generating and processing temper
ature
-
dependent databases for trace species
recognition in gas mixtures.
Proceedings of the 11
th

Interrnational Meeting on Chemical
Sensors,

Italy, July 2006.



119.

Z
.
Boger
, Analysis of medical data
-
bases by models trained by artificial neural
networks.

Presented at the
Annual Meeting of the Israeli Association for Medical
Information
, Tel
-
Aviv, May 2006, (Abstract in Hebrew).


118.
Z
.
Boger
, Y. HaCohen
-
Kerner, H. Beck, E. Yehuday
,

Classification of Jewish law
articles according to the ethnic group of th
eir writers using stems only. (Submitted for
publication).


117. D. Stopel,
Z. Boger
, R. Moskovitch, Y. Shahar, Y. Elovici,

Application of artificial
neural networks techniques to computer worm detection.

Proceedings of the World
Conference on Computationa
l Intelligence

WCCI’06, Vancouver, Canada, 2006,
IJCNN06, pp. 2362
-
2369


116. D. Stopel,
Z. Boger
, R. Moskovitch, Y. Shahar, Y. Elovici,

Method and system for
detecting abnormal states in a computer. Israeli Patent Application #173473, January 31,
2006. EU

Patent Application #, 2007.


115.
Z. Boger
, D.C. Meier, J. Evju and S. Semancik,

Artificial neural networks
-
based
recognition of chemical hazards using “artificial nose” signals.
Proceedings of the 9
th

annual meeting of the Israel Analytical Chemistry Soc
iety
, ISRANALYTICA 2006, Tel
Aviv, Israel, January 2006 (Abstract).


114.
J. Evju,

Z. Boger
, D. Meier, C. Montgomery and S. Semancik, Reliable recognition
of low level simulated chemical weapons, Presented at
SENSORS 2005
, Nov. 2005.


113. T. Kuflik,
Z. Bo
ger

and P. Shoval,
Filtering search results using an optimal set of
terms identified by an artificial neural network
.
Information Processing & Management
,
v
ol. 42(2)
,
2005,

pp 469
-
483.


112.
J. Huseynov, Z.
Boger
, G. Shubinsky, S. Baliga, Optical flame de
tection using
artificial neural networks. Proceedings of the
International Joint Conference on Neural
Networks, IJCNN’05
, Montreal, Canada, July 2005.


111. R. Pregla, A. Anderson, L. Blum, P. Heizmann, R.

Hetzer and
Z. Boger
, Detection
and classification
of bacterial species in breath of intensive care unit patients using
electronic nose combined with artificial neural network modelling.

Poster presented at the
International Symposium on Olfaction and Electronic Nose
,
ISOEN’05
, Barcelona,
Spain, April 2005
.


110.
Z. Boger
, D. C. Meier, J. Evju and S. Semancik,

Artificial neural networks based
recognition of chemical hazards in mixed backgrounds using temperature
-
programmed
microsensor signals. Proceedings of the
International Symposium on Olfaction and
Elec
tronic Nose, ISOEN’05,

Barcelona, Spain, April 2005, pp. 191
-
196.


109.
Z. Boger
, Medical diagnosis by odor, utilizing 'artificial nose' sensor arrays and
artificial neural networks, Tutorial presentation at the Biomedical Computing Interest
Group, Nationa
l Institute of Health, Bethesda, MD, October 2004. Available in
http://www.altum.com/bcig/BCIG
/Events/Event List


108. G. Shubinsky, S. Baliga, J. Huiysanov,
Z. Boger
, Flame detection system, US
Patent applic
ation #10/894570, July 2004.

United States Patent 7,202,794, January 10,
2007.


107.
D.C. Meier, R.E. Cavicchi,
Z. Boger
, and S. Semancik, Interference effects on
chemical warfare agents detection by MEMS
-
based microsensor arrays.
Proceedings of
the
10
th

In
ternational Meeting on Chemical Sensors

(IMCS
-
10)
,

Tsukuba, Japan, July
2004. Available in
Chemical Sensors
, vol. 20, Suppl. B 2004, pp. 308
-
309.


106.

Z. Boger
, Artificial neural networks


an easy way to model and understand bio
-
informatics data.
Joint B
ECON/BISTIC 2004 Symposium on Biomedical Informatics for
Clinical Decision Support: A Vision for the 21st Century
, National Insitute of Health,
Bethesda, MD, June 2004,
Abstact book,

p. 4.


105.
Z. Boger
,
Artificial neural networks
-

unlikely but effective

tools in analytical
chemistry.

In Z.A. Alfassi, Z. Boger and Y. Ronen
“Statistical Treatment of Analytical
Data”
, Blackwell Publishing, Oxford, UK, 2005, ISBN 0
-
632
-
05367
-
4,
pp.172
-
262
.


104. S. Pérez
-
Magariño, M. Ortega
-
Heras, M.L. González
-
San José and
Z. Boger
,
Comparative study of artificial neural network and multivariate methods to classify
Spanish DO rosé wines.
Talanta
, vol. 61 (5), 2004, pp. 983
-
990.


103.
D.C. Meier,
Z. Boger
, R.E. Cavicchi, S. Semancik and C.J. Taylor,
MEMS gas
sensors for chemi
cal warfare agent detection,
PITCON 2004
, abstract # 23300
-
500,
March 2004
.


102.
Z.

Boger
, R.E. Cavicchi, D.C. Meier and S. Semancik, Rapid identification of CW
agents by artificial neural networks pruning of temperature programmed microsensor
databases
.

Sensor Letters
, vol. 1, 2003, pp. 86
-
92.


101. S. Semancik , C. Taylor, R. Cavicchi, C. Montgomery and
Z. Boger

, Temperature
-
dependent studies of gas sensing materials using MEMS microarrys.
Proceedings of the

fall meeting of the Material Research Societ
y,
vol. 803,abstract JJ7.1, Dec. 2003.


100.
D.C. Meier, R.E. Cavicchi,
Z
.
Boger

and S. Semancik, MEMS chemical sensors for
Homeland Security .
Abstracts of Papers, American Vaccuum Society Annual Meeting
,
Philadelphia, Nov. 2003.


99.
Z. Boger
, R.E. Cavic
chi, D.C. Meier, C.B. Montgomery and S. Semancik, Using
MEMS microarrays and neural networks to identify preferred
surface chemistry in
application
-
specific gas sensing.
Abstracts of Papers, American Vaccuum Society Annual
Meeting

, Philadelphia, Nov. 2003
.


98. D. Meier, C.J. Taylor, R.E. Cavicchi,
Z. Boger

and S. Semancik, Detection of trace
chemical warfare agents using MEMS chemical sensors.
Abstracts of Papers, 226th ACS
National Meeting,

New York, September, 2003.



97.
Z. Boger
, Selection of the qua
si
-
optimal inputs in chemometric modeling by artificial
neural network analysis.
Analytica Chimica Acta
,
vol. 490 (1
-
2),
2003,
pp. 31
-
40
.



96.
Z. Boger
, D. C. Meier, R.E. Cavicchi and S. Semancik, Identification of the type and
the relative concentration

of chemical warfare agents using NIST conductometric
microhotplate sensors.
Proceedings of the International Joint Conference on Neural
Networks, IJCNN’03
, Portland, OR, July 2003, pp. 1065
-
1070.


95.
Z. Boger
, ANN models for identification of the most re
levant genes from cDNA
array gene expression data.
Proceedings of the International Joint Conference on Neural
Networks, IJCNN’03
, Portland, OR, July 2003, pp. 3095
-
3100.


94.
Z. Boger
, Finding patients clusters's attributes by auto
-
associative ANN modelin
g.
Proceedings of the International Joint Conference on Neural Networks, IJCNN’03,

Portland, OR, July 2003, pp. 2643
-
2648.


93.
Z. Boger
, Drowning in data, thirsting for knowledge: intelligent computing solutions
in medicine and health care applications. T
utorial presentation at the Biomedical
Computing Interest Group, National Institute of Health, Bethesda, MD, March 2003.
Available in
http://www.altum.com/bcig/BCIG
/Events/Event List


92.
Z. Boger
,
Identifica
tion of the optimal set of expressed genes sufficient for cancer
type classification by artificial neural network modeling. A poster presented at the
Bioinformatics, Biostatistics, and Computational Biology Faculty Retreat
, National
Cancer Institute, Gaith
ersburg, MD, November 2002 (Abstract).


91.
Z. Boger
, Selection of the optimal inputs in chemometric modeling by artificial
neural network analysis.
Proceedings of the 8
th

International Conference of
Chemometrics in Analytical Chemistry, CAC
-
2002
, Seattle,

September 2002.


90.
Z. Boger
, R.E. Cavicchi and S. Semancik, Analysis of conductometric micro
-
sensor
responses in a 36
-
sensor array by artificial neural networks modeling. D’Amico and Di
Natale, Eds.,
Proceedings of the 9
th

International Symposium on O
lfaction and Electronic
Nose, ISOEN’02
, Rome, 2002, Aracne Editrice S.r.l., Rome 2003, pp. 135
-
140. Also
available on
http://preprint.chemweb.com/analchem/0211001


89.
Z. Boger
, S. Semancik and R.E. Cavicchi, Artificial neural networks methods for
identifi
cation of the most relevant inputs from conductometric microhotplate sensors.
Proceedings of the 9
th

International Meeting on Chemical Sensors, IMCS’9,

Boston, July
2002, pp. 190
-
191.


88.
Z. Boger
, Who is afraid of the BIG bad ANN?
Proceedimngs of the
International
Joint Conference on Neural Networks, IJCNN’02
, Honolulu, Hawaii, May 2002, pp.
2000
-
2005.


87.

Z. Boger
, Hidden neurons as classifiers in artificial neural networks models,
Proceedings of the 5
th

Conference on Artificial Neural Networks and E
xpert Systems,
ANNES'01,

Dunedin, New
-
Zealand, 2001, pp. 4
-
7.


86.
Z. Boger
, Connectionist methods and systems for knowledge discovery in real world
applications,
Proceedings of the 5
th

Conference on Artificial Neural Networks and Expert
Systems, ANNES'01
,

Dunedin, New Zealand, 2001, pp. 52
-
55.


85.
Z. Boger
,
Artificial neural networks modeling as a diagnostic and decision making
tool. D. Ruan and P.F. Fantoni (eds.), “
Power Plant Surveillance and Diagnostics ,
Modern Approaches and Advanced Applications

, Physica
-
Verlag, 2002, Chapter 16, pp.
243
-
252.


84.
Z. Boger
,
Artificial neural networks modeling as an industrial plant fault diagnostic
tool. In
R. Roy et al., eds. “
Soft Computing in Industry
-

Recent Applications”
, Springer,
2003, pp.805
-
814
.
. Avai
lable on the internet
http//kolomogorov.ipk.fhg.de/wsc6/sessions/paper059


83.
Z. Boger
, Artificial neural networks models in the chemical industry, doubts and
prospects.
Proceedings of the Annual meeting of the Israeli Institute of Chemical
Engineering
,
Haifa, Israel, April 2001 (Abstract).


82.

Z. Boger
, T. Kuflik, P. Shoval and B. Shapira, Automatic keyword identification by
artificial neural networks compared to manual identification by users of filtering
Systems.
Information Processing & Management,

vo
l. 37(2), 2001, pp. 187
-
198.


81.
Z. Boger
, Artificial neural network models for fault detection in processes and
equipment.
Proceedings of the Annual meeting of the Israeli Institute of Chemical
Engineering
, Be’er Sheva, Israel, June 2000 (Abstract).


80.

E. Benfenati, G. Battaini;
Z. Boger
, G. Gini, Use of different artificial neural
networks for toxicity prediction of chemicals.
Proceedings of the Second Indo
-
US
Workshop on Mathematical Chemistry, With Applications to Drug Discovery,
Environmental Toxico
logy, Cheminformatics and Bioinformatics
, Duluth, Minnesota,
May 2000 (Abstract).


79.
Z. Boger
, Applications of artificial neural networks in process control and electrical
power generation systems.
Proceedings of the Symposium on Methods of Artificial
In
telligence in Energetics
, I & C Energo, Prague, Czech Republic, May 2000 (Abstract).



77.
Z. Boger
, Artificial neural networks modeling as a diagnostic and decision making
tool.
Proceedings of the American Nuclear Society Topical Meeting on Nuclear Plant
Instrumentation, Control and Human
-
Machine Interface Technologies
, November 2000,
Washington, D.C.


76.
Z. Boger

and R. Weber, Finding an optimal artificial neural network topology in real
-
life modeling
-

two approaches.
Proceedings of the Neural Computati
on 2000 NC’2000
Conference,

paper # 1403
-
109, Berlin, Germany, May 2000.


75.
Z. Boger
, Rule extraction for health care decision making from artificial neural
networks models.
Proceedings of the Neural Computation 2000 Conference, NC’2000,

paper # 1403
-
1
78, Berlin, Germany, May 2000 (Abstract).


74.
Z. Boger
, Z. Kuflik, B. Shapira and P. Shoval, Information filtering and automatic
keyword identification by artificial neural networks.
Proceedings of the ECIS’2000
Conference,

Vienna, Austria, June 2000.


7
3.
Z. Boger
, The potential of large
-
scale artificial neural networks in distillation
processes operation.
Proceedings of the International conference on the Engineering
Applications of Neural Networks EANN’99
, Warsaw, Poland, Sep. 1999, pp. 117
-
122.


72.
Z
. Boger
, Artificial neural networks for predicting gas chromatograph retention
index.
Proceedings of the Annual meeting of the Israeli Institute of Chemical
Engineering
, Haifa, Israel, Mar. 1999, p. 47 (Abstract).


71.
Z. Boger
, Y. Nahmani, Z. Karpas, A. L
orber, Comparison of the quantitative XRF
determination of the Chlorine content of compounds by principal component analysis and
artificial neural networks techniques.
Proceedings of the 2
nd

Conference on Analytical
Chemistry
, Tel
-
Aviv, Israel, January 199
9 (Abstract).


70. T. J. Mc Avoy, J. Anderson, O. J. Hao,
Z. Boger

and H. Kim, Optimization and
control of alternating aerobic/anoxic activated sludge operation.
Proceedings of the 14
th

Triennial IFAC World Congress,

Beijing, P.R. China, 1998, pp. 289
-
294
.


69.
Z. Boger
, Implementing artificial neural networks in nuclear power plants diagnostic
systems: Issues and challenges.
Proceedings of the IAEA Technical Committee Meeting
on Diagnostic Systems in Nuclear Power Plants,
Istanbul, Turkey, June 1998, IAEA
-
IWG
-
NPPCI
--
98/2, pp. 149
-
160.


68.
Z. Boger
, Modeling distillation processes and installations by artificial neural
networks.
Proceedings of the annual meeting of the Israeli Institute of Chemical
Engineering
, Haifa, Israel, Mar. 1998. (Abstract in Hebrew
).


67.
Z. Boger

and H. Guterman, Knowledge extraction from artificial neural networks
models.
Proceedings of the IEEE International Conference on Systems Man and
Cybernetics, SMC'97,

Orlando, Florida, Oct. 1997, pp. 3030
-
3035.


66.
Z. Boger
, Experience in

industrial plant model development using large
-
scale
artificial neural networks.
Information Sciences
-

Applications
, vol. 101(3:4), 1997, pp.
203
-
212.


65.
Z. Boger
, Enhanced capabilities of artificial neural networks for predicting molecular
activity.
P
roceedings of the Third Electronic Computational Chemistry Conference,
ECCC
-
3
. Nov. 1996. (Available on the Internet:
http://hackberry.chem.niu.edu/ECCC3/papers/paper66/paper66.html).


64.
Z. Boger
, L. Ratton, T. A. Kunt, T. J. Mc Avoy, R. E. Cavicchi and

S. Semancik,
Robust classification of "Artificial Nose" sensor data by artificial neural networks.
Proceedings of the IFAC ADCHEM '97 Conference
, Banff, Canada, June 1997, pp. 334
-
338.


63. A. Talaie, J. A. Romagnoli,
Z. Boger
, S. B. Adelejou, Y. J. Yuan
and Ji
-
Y. Lee:
Artificial neural networks and chemical sensors: A novel investigation of conducting
polymer
-
based biosensors.
Proceedings of the Chemeca Conference
, Sydney, NSW,
Australia, 1996.


62. A. Talaie,
Z. Boger
, J. A. Romagnoli, S. B. Adelejou a
nd Y.J. Yuan, Data
acquisition, signal processing and modeling: A study of conducting polypyrrole formate
biosensor. Part 1: Batch experiment.
Synthetic Metals
, vol. 83, 1996, pp. 21
-
26.


61.
Z. Boger
, A. A. Safavi, S. Norquay and J. A. Romagnoli, Artific
ial neural networks
in distillation process modeling.
Proceedings of the AIChE annual meeting
, Chicago
1996. (Available on the Internet http://www.che.wisc.edu/aiche/1996/10b
-
abstracts/19.html)


60.
Z.

Boger
, H. Guterman and T. Segal, Application of large
-
scale artificial neural
networks for modeling the response of a naphtha stabilizer distillation train.
Proceedings
of the AIChE annual meeting
, Chicago 1996. (Available on the Internet

http://www.che.wisc.edu/aiche/1996/10b
-
abstracts/24.html)


59. D. Ber
ger, M. V. Landau, M. Hershkovitz and
Z. Boger
,
Deep hydrodesulfurization
of atmospheric gas oil. Effects of operating conditions and modeling by artificial neural
network techniques.

Fuel
, vol. 75(7), 1996, pp. 907
-
911.


58.
Z. Boger
, Experience in develo
ping models of industrial plants by large
-
scale
artificial neural networks.
Proceedings of the 2
nd

New Zealand International Two Stream
Conference on Artificial Neural Networks and Expert Systems, ANNES'95
, Dunedin, New
Zealand, Nov. 1995, pp. 326
-
329. (A
bstract available on the Internet


http://www.computer.org/proceedings/annes95/abstract.htm)


57.
Z. Boger
, Experience in developing and analyzing models of industrial plants by
large
-
scale artificial neural networks.
Proceedings of the International Confe
rence on
Artificial Neural Networks, ICANN'95
, Paris, Oct. 1995, Session A6.


56.
Z. Boger
, A. Lorber and R. Barak, Automatic identification of chemical warfare
agents in GC/MS spectra. Rotem Industry Ltd.
Technical Report. Organization for the
Prevention

of Chemical Warfare,

The Hague, 1995. (Available on the Internet
http://www.opcw.nl as an Annex to Document PC
-
XI/B/WP.12).


55.
Z. Boger
, Applications of artificial neural networks in bio
-
technology and drug
development.
Proceedings of the annual meeting

of the Israeli Institute of Chemical
Engineering,

Haifa, Israel, Apr. 1995. (In Hebrew).


54.
Z. Boger
, Modeling of process industry plants by artificial neural networks.
Proceedings of the International Symposium on Artificial Intelligence and Expert Sys
tems
in Process Industry
, Kharagpur, India, Dec. 1994, pp. 148
-
164.


53.
Z. Boger
, Trends in the applications of artificial neural networks in the nuclear
industry.
Proceedings of the annual meeting of the Israeli Nuclear Societies
, Tel
-
Aviv,
Israel, Nov.
1994. (Abstract in Hebrew).


52.
Z. Boger
, D. Berger, M. V. Landau, and M. Hershkovitz, Analysis of complex
catalytic systems by artificial neural networks.
Proceedings of the annual meeting of the
Israeli Institute of Chemical Engineering
, Be'er
-
Sheva, Is
rael, Mar. 1994. (Abstract in
Hebrew).


51.
Z. Boger

and M. Ben
-
Haim, Artificial neural networks for developing a "Virtual
Instrument".
Proceedings of the annual meeting of the Israeli Institute of Chemical
Engineering
, Be'er
-
Sheva, Israel, Mar. 1994. (Abs
tract in Hebrew).


50. D. Berger,
Z. Boger
, M. V. Landau and M. Hershkovitz, Analysis of complex
catalytic systems by artificial neural networks.
Proceedings of the annual meeting of the
Israeli Institute of Chemical Engineering,
Be'er
-
Sheva, Israel, Mar.
1994. (Abstract in
Hebrew).


49.
Z. Boger
, Applications of artificial neural networks in process control systems. II.
Process modeling and knowledge extraction.
Instrumentation and Control
, vol. 19, 1994,
p. 5. (In Hebrew).


48.
Z. Boger
, Applications of
artificial neural networks in process control systems. I.
Reliability augmentation and diagnostics in instrumentation.
Instrumentation and
Control
, vol. 16, 1994, pp. 10
-
11. (In Hebrew).



47. A. Keter and
Z. Boger
, Application of artificial neural network
s in estimation of
probable accident causes in nuclear power plants. in
"Current practices and future trends
in expert system developments in use in the nuclear industry."

IAEA
-
TECDOC
-
769,
International Atomic Energy Agency, Vienna 1994, pp. 103
-
112.


46.
Z. Boger
, The status of artificial neural networks applications in the nuclear industry.
in
"Current practices and future trends in expert system developments in use in the
nuclear industry."

IAEA
-
TECDOC
-
769, International Atomic Energy Agency, Vienna
1994
, pp. 33
-
46.


45.
Z. Boger

and Z. Karpas, Application of neural networks for interpretation of ion
mobility and X
-
ray fluorescence spectra.
Analytica Chimica Acta,

292, 1994, pp. 243
-
251.


44.
Z. Boger

and Z. Karpas, Use of neural networks for quantitative

ion mobility
spectrometric measurements.
Journal of Chemical Information and Computer Science,
34, 1994, pp. 576
-
580.


43.
Z. Boger
, Application of artificial neural networks in the chemical plant.
Chemistry
and Chemical Engineering
, vol. 16, Dec. 1993,
pp. 26
-
29. (In Hebrew).


42.
Z. Boger
, Application of artificial neural networks in batch reaction processes.
Israeli
Chemical Engineering
, No. 22, Apr. 1993, pp. 114
-
116. (In Hebrew).


41. M. Ben
-
Haim,
Z. Boger
, M. Tidhar and M. Mareli, Meta
-
modeling of a

distillation
isotope separation cascade with neural networks.
Proceedings of the Summer Computer
Simulation Conference
, Boston, July 1993. Summary in
IAEC Research Laboratories
annual report 1993
, IA
-
1521, pp. 200
-
201.


40.
Z. Boger
, The role of neural ne
tworks in nuclear power plant safety systems. in
"The
Potential of Knowledge Based Systems in Nuclear Installations"
. IAEA
-
TECDOC
-
700,
International Atomic Energy Agency, Vienna 1993, IAEA
-
TECDOC

700, pp. 63
-
75.
also as IAEC technical report NRCN(TN)
-
145,
Dec. 1993.


39.
Z. Boger
, Large
-
scale neural networks
-

possible applications in nuclear power
plants.
Proceedings of the ANS Topical Meeting on Nuclear Plant Instrumentation,
Control and Man
-
Machine Interface Technologies,

Oak Ridge, Tennessee, Apr. 1993
, pp.
624
-
631. Summary in
IAEC Research Laboratories annual report 1993
, IA
-
1521, pp.
199
-
200.


38.
Z. Boger
, Applications of neural networks in process control.
Proceedings of the
Workshop on Neural Networks in Control
, Israeli Association of Automatic Co
ntrol,
Herzelia, Israel, Jan. 1993 (Abstract).


37.

Z. Boger
, Artificial neural networks for quantitative stationary spectroscopic
measurements.
Proceedings of the 10th Israeli Conference on Artificial Intelligence,
Computer Vision and Neural Networks, AI
CVNN
-
93
, Ramat
-
Gan, Israel, Dec. 1993. pp.
185
-
194.


36.
Z. Boger
, Possible roles of neural networks in developing expert systems in the
nuclear industry. in
"Expert Systems in the Nuclear Industry"
. IAEA
-
TECDOC
-
660,
International Atomic Energy Agency, Vie
nna 1992, pp. 147
-
161. Also as IAEC technical
report NRCN(TN)
-
144, Dec. 1993.


35.
Z. Boger

and M. Ben
-
Haim: Application of neural networks techniques in solvent
extraction: Modeling, knowledge acquisition and dynamic prediction. in D. H. Logsdail
and M.J.

Slater (eds.):
"Solvent Extraction in the Process Industry",

Elsevier Applied
Science, vol. 2, pp. 1198
-
1205, 1993. Summary in
IAEC Research Laboratories annual
report 1992
, IA
-
1504, pp. 202
-
203.


34.
Z. Boger
, Y. Argaman, D. Farchile, M. Goldstein, B. Kr
avitz, O. Gucci, Knowledge
acquisition in wastewater treatment plants.
Proceedings of the Israeli
-
German seminar
on Joint Water and Wastewater Research Program
, Karlsruhe, Germany, Oct. 1992,
paper no. 4.


33. M. Ben
-
Haim and
Z. Boger
, Neural network as a

virtual sensor for predicting the
dynamic behavior of a solvent extraction process.
Proceedings of the Summer Computer
Simulation Conference
, Reno, July 1992. Summary in
IAEC Research Laboratories
annual report 1992
, IA
-
1504, p. 202.


32. Z. Karpas and
Z.

Boger
, Ion mobility spectrometry interpretation by neural network.
Proceedings of the 1992 Workshop on Ion Mobility Spectrometry,

Las Crusas, NM, pp.
35
-
40. Summary in
IAEC Research Laboratories annual report 1992
, IA
-
1504, p. 132.


31. M. Ben
-
Haim and
Z
. Boger
, Modeling the dynamic characteristics of the Zirconium
-
Hafnium solvent extraction system via neural networks. Summary in
IAEC Research
Laboratories annual report 1992
, IA
-
1504, pp. 201.


30.
Z. Boger

and M. Ben
-
Haim, Recent advances and future dire
ctions of neural
networks application in nuclear power plants.
Proceedings of the annual meeting of the
Israeli Nuclear Societies,

Be'er Sheva, Israel, May 1992, INIS
-
mf

13334, pp. 55
-
58.


29. M. Ben
-
Haim and
Z. Boger
, Application of neural networks for pr
ocess knowledge
acquisition.
Proceedings of the annual meeting of the Israeli Institute of Chemical
Engineering
, Haifa, Israel, Apr. 1992. (Abstract in Hebrew).


28.
Z. Boger
, Application of neural networks to water and wastewater treatment plant
operation
. Instrument Society of America Transactions
, vol. 31(1), pp. 25
-
33, 1992.


27. M. Ben
-
Haim, M. Tidhar and
Z. Boger
, Simulation of recovery procedures of an
isotope separation

distillation plant.
Proceedings of the Summer Computer Simulation
Conference
, 1
991, pp. 1050
-
1055
. (
Summary in
IAEC Research Laboratories annual
report 1991
, IA
-
1471, pp. 181
-
182).



26.
Z. Boger

and M. Ben
-
Haim, The application of neural networks techniques to
knowledge acquisition. Summary in
IAEC Research Laboratories annual repo
rt 1991
,
IA
-
1471, pp. 181
-
182.


25.
Z. Boger

and M. Ben
-
Haim, Neural networks techniques in intelligent sensor
development. Summary in
IAEC Research Laboratories 1991 annual report
, IA
-
1471, p.
180.


24.
Z. Boger
, Applications of neural networks in process

control.
Israeli Chemical
Engineering
, No. 20, Aug. 1991, pp. 6
-
9. (In Hebrew).


23.
Z. Boger
, Application of neural networks techniques to fault analysis.
Proceedings of
the annual meeting of the Israeli Nuclear Societies
, Herzelia, Israel, Dec. 1990, IN
IS
-
mf

13212, p. 217. Summary in
IAEC Research Laboratories 1990 annual report
, IA
-
1460, p. 214.


22.
Z. Boger
, Lessons learned from the design and operation of a distributed process
control and data processing system in an industrial plant.
Israeli Chemica
l Engineering
,
1990, pp. 11
-
14. (In Hebrew).


21.
Z. Boger

and H. Guterman, Knowledge representation of wastewater treatment plant
operating history and current state. In R. Briggs, Ed.
"Instrumentation, Control and
Automation of Water and Wastewater Treat
ment and Transport Systems".

Pregamon
Press, 1990, pp. 235
-
241.


20.
Z. Boger
, Survey of INIS database concerning expert systems in nuclear power
plants.
"Use of expert systems in nuclear safety"
, IAEA
-
TECDOC
-
542, Vienna 1990, pp.
97
-
98, 245
-
344.


19.
Z. B
oger
, Expert systems in nuclear power plants
-

how soon can they be
implemented?
"Use of expert systems in nuclear safety"
, IAEA
-
TECDOC
-
542, Vienna
1990, pp. 165
-
176.


18.
Z. Boger
, Application of expert system techniques in nuclear power plants. Brief
rev
iew of current status and future prospects.
Proceedings of the Nuclear Societies of
Israel annual meeting
. Beer
-
Sheva, Israel, March 1989, INIS
-
mf

11503, p. 86.


17. M. Ben
-
Haim, D. Peled and
Z. Boger
, Process plant fault diagnosis by expert system
techniq
ues. Summary in
IAEC Research Laboratories 1985 annual report
, IA
-
1421, p.
202.


16. M. Mareli, Y. Mittelman and
Z. Boger
, A low
-
cost remote supervision system.
Summary in
IAEC Research Laboratories 1984 annual report
, IA
-
1416, p. 82.


15.
Z. Boger
, E. Si
movici and D. Farchile, The design of a distributed process control
system for a municipal wastewater treatment plant.
Proceedings of the annual meeting of
the Israeli Institute of Chemical Engineering,

Be'er
-
Sheva, Israel, Apr. 1984. (Abstract in
Hebrew).


14.
Z. Boger
, H. Cikurel, S. Trigerman and I. Hodara, Purification of low
-
level
radioactive effluents by membrane
-
based processes. Summary in
IAEC Research
Laboratories 1983 annual report
, IA
-
1404, p. 156.


13.
Z. Boger
, Applications of personal computer
s in chemical engineering and industry.
Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering,

Haifa, Israel, Mar. 1983, (Abstract in Hebrew).


12.
Z. Boger
, Radioactive waste disposal options for the operation of nuclear power

stations and possible fuel cycle facilities in Israel.
Proceedings of the annual meeting of
the Israeli Nuclear Societies,

Haifa, Israel, Feb. 1982, INIS
-
mf

7498, pp. 6.36
-
6.37.


11.
Z. Boger
, "Simuchin"
-

Storage and classification of engineering journal

papers by
microcomputer.
Proceedings of Symposium on Information Systems in the Chemical
Industry
, The Engineers Federation, Tel
-
Aviv, Israel, Nov. 1981. (In Hebrew).


10.
Z. Boger
, Developments in computerized process control systems.
Proceedings of
Symp
osium on Control and Automation in the Israeli Chemical Industry
, The Israeli
Architects and Engineers Association, Tel
-
Aviv, Israel, Jan. 1980 (Abstract in Hebrew).


9.
Z. Boger
, Energy saving by vapor compression.
Proceedings of the annual meeting of
th
e Israeli Institute of Chemical Engineering
, Be'er
-
Sheva, Israel, Apr. 1977. (Abstract in
Hebrew).


8.
Z. Boger
, On the economics of the light
-
water hybrid reactor fuel cycle
. Proceedings
of the annual meeting of the Israeli Nuclear Societies,

Be'er
-
Sheva,

Israel, Dec. 1976,
INIS
-
mf

3663, pp. 65
-
68.


7.
Z. Boger
, J. Merchuk and D. Wolf, Static mixer in two
-
phase system.
Proceedings of
the annual meeting of the Israeli Institute of Chemical Engineering
, Haifa, Israel, Apr.
1976. (Abstract in Hebrew).


6.
Z.
Boger
, Experience in using digital computer in teaching process control.
Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering,

Haifa, Israel, Apr. 1976 (Abstract in Hebrew).


5. Z. Ketzinel,
Z. Boger
, H. Cikurel, D. Vofsi, J.
Jagur
-
Grodzinski, and S. Gassner,
Continuous dialytic decontamination of dissolved fuel elements by solvent
-
polymeric
membranes.
Industrial and Engineering Chemistry, Process Design and Development
,
vol. 15, no. 4, 1976, pp. 524
-
529.


4. Z. Ketzinel,
Z. Bo
ger
, H. Cikurel, D. Vofsi, J. Jagur
-
Grodzinski, and S. Gassner,
Continuous dialytic decontamination of dissolved fuel elements by solvent
-
polymeric
membranes.
Proceedings of the 24th International Symposium on Macromolecules
,
Jerusalem, Israel, 1975, pp. 2
75
-
276.



3. Z. Ketzinel,
Z. Boger

and H. Cikurel, Solvent membrane separation. Summary in
IAEC Research Laboratories 1973
-
1974 bi
-
annual report
, IA
-
1308, pp. 145
-
146.



2. Z. Ketzinel and
Z. Boger
, Solvent membrane separation. Summary in
IAEC Research
La
boratories 1971 annual report,

IA
-
1962, pp. 105
-
106.

1.
Z. Boger
, Optimization of a dissolution process. M. Sc. Thesis, Technion
-

Institute of
Technology, Faculty of Chemical Engineering, 1971. (In Hebrew). Also as IAEC report
NRCN
-
300, 1972.



Advising
PhD and MSc Thesa


D. Stopel, MSc. Thesis, Deparment of Information Systems Engineering, Ben
-
Gurion
University, 2007.


T. Kuflik,
Methods for definition of content
-
based and rule
-
based user profiles in
information filtering systems.

PhD Thesis, Deparment o
f Information Systems
Engineering, Ben
-
Gurion University, 2003.


B. Kravitz, Develoment of expert rules for wastewater treatment plant, MSc Thesis,
Faculty of Civil Engineering, Technion


Israel Institute of Technology, 1995.


Y. Vardi, The Dan Region wa
stewater treatment plant


Examination of the relation
between the energy cost and the quality of the purified effluent. MSc Thesis, Department
of Economics, Ben Gurion University, 1994.