Message: Return type of CI_Session_files_driver::open($save_path, $name) should either be compatible with SessionHandlerInterface::open(string $path, string $name): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::close() should either be compatible with SessionHandlerInterface::close(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::read($session_id) should either be compatible with SessionHandlerInterface::read(string $id): string|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::write($session_id, $session_data) should either be compatible with SessionHandlerInterface::write(string $id, string $data): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::destroy($session_id) should either be compatible with SessionHandlerInterface::destroy(string $id): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::gc($maxlifetime) should either be compatible with SessionHandlerInterface::gc(int $max_lifetime): int|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
S. Bhattacharyya, P. Dutta and D. DuttaMajumder (eds. Debjani Chakraborty, S. Nanda and
D. DuttaMajumder), "A parallel Self-Organizing Neural Network (SONN) based Color Object Ex-
tractor using MUSIG Activation Function with CONSENT", in Fuzzy Logic and its Application in Technology and Management, pp. 206-213, Narosa Publishing House, New Delhi, India, 2007.
S. De, S. Bhattacharyya and P. Dutta (eds. J. Mehnen, M. Koppen, A. Saad and A. Tiwari),
"Multilevel Image Segmentation using OptiMUSIG Activation Function with Fixed and Variable
Thresholding: A Comparative Study", in Applications of Soft Computing: From Theory to Praxis,
Advances in Intelligent and Soft Computing, Springer-Verlag, Berlin, Heidelberg, pp. 53-62, 2009.
S. Bhattacharyya, U. Maulik and S. Bandyopadhyay (eds. Ying Dai, Basabi Chakraborty and
Minghui Shi), "Soft Computing and its Applications," in Kansei Engineering and Soft Computing:
Theory and Practice, IGI Global, Hershey PA, USA, pp. 1-30, 2011.
S. Bhattacharyya, (eds. V. Mago and N. Bhatia), "Neural networks: evolution, topologies, learn-
ing algorithms and applications," in Cross-Disciplinary Applications of Articial Intelligence and
Pattern Recognition: Advancing Technologies, IGI Global, Hershey PA, USA, pp. 450-498, 2011.
P. Dutta, S. Bhattacharyya and P. Bhattacharya (eds. Md. A. Khan and A. Q. Ansari), "Evolutionary computing: principles and applications to portfolio optimization," in Handbook of Research
on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, IGI Global,
Hershey PA, USA, pp. 271-295, 2011.
P. Dutta, S. Bhattacharyya and P. Bhattacharya (eds. Md. A. Khan and A. Q. Ansari), "Evolutionary computing: principles and applications to portfolio optimization," in Handbook of Research
on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, IGI Global,
Hershey PA, USA, pp. 271-295, 2011.
S. Bhattacharyya and P. Dutta, (eds. Md. A. Khan and A. Q. Ansari), "Fuzzy logic: concepts,
system design and applications to industrial informatics," in Handbook of Research on Industrial
Informatics and Manufacturing Intelligence: Innovations and Solutions, IGI Global, Hershey PA,
USA, pp. 33-71, 2011.
S. Bhattacharyya and P. Dutta, (eds. Md. A. Khan and A. Q. Ansari), "Fuzzy logic: concepts,
system design and applications to industrial informatics," in Handbook of Research on Industrial
Informatics and Manufacturing Intelligence: Innovations and Solutions, IGI Global, Hershey PA,
USA, pp. 33-71, 2011.
B. Chakraborty, S. Bhattacharyya and P. Dutta, (eds. S. K. Pal, A. Petrosino and L. Maddalena),
"An unsupervised video shot boundary detection technique using fuzzy entropy estimation of video
content," in Handbook on Soft Computing for Video Surveillance, Taylor & Francis, 2011.
S. Bhattacharjee, S. Bhattacharyya and N. K. Mondal, (eds. S. Bhattacharyya and P. Dutta)
"Quantum Backpropagation Neural Network Approach for Modeling of Phenol Adsorption from
Aqueous Solution by Orange Peel Ash," Handbook of Research on Computational Intelligence for
Engineering, Science and Business, pp. 649-671, 2012.
B. Chakraborty, S. Bhattacharyya and S. Chakraborty, (eds. S. Bhattacharyya and P. Dutta) "A
Comparative Study of Unsupervised Video Shot Boundary Detection Techniques Using Probabilistic
Fuzzy Entropy Measures," Handbook of Research on Computational Intelligence for Engineering,
Science and Business, pp. 228-240, 2012.
S. De, S. Bhattacharyya and S. Chakraborty, (eds. S. Bhattacharyya and P. Dutta) "Multilevel
Image Segmentation by A Multiobjective Genetic Algorithm Based OptiMUSIG Activation Func-
tion," Handbook of Research on Computational Intelligence for Engineering, Science and Business,
pp. 122-162, 2012.
S. De, S. Bhattacharyya and S. Chakraborty, (eds. S. Bhattacharyya and P. Dutta) "Multilevel
Image Segmentation by A Multiobjective Genetic Algorithm Based OptiMUSIG Activation Func-
tion," Handbook of Research on Computational Intelligence for Engineering, Science and Business,
pp. 122-162, 2012.
S. De, S. Bhattacharyya and S. Chakraborty (eds. B. K. Tripathy and D. P. Acharjya) "Efficient
Color Image Segmentation by A Parallel Optimized (ParaOptiMUSIG) Activation Function," Global
Trends in Intelligent Computing Research and Development, pp. 19-50, 2013.
S. Dey, S. Bhattacharyya and U. Maulik (eds. B. K. Tripathy and D. P. Acharjya) "Chaotic
Map Model based Interference Employed in Quantum Inspired Genetic Algorithm to Determine the
Optimum Gray Level Image Thresholding," Global Trends in Intelligent Computing Research and
Development, pp. 68-110, 2013.
S. Chandra and S. Bhattacharyya, (eds. S. Bhattacharyya and P. Dutta), "Quantum Inspired
Swarm Optimization for Multi-Level Image Segmentation Using BDSONN Architecture," Handbook
of Research on Swarm Intelligence in Engineering, IGI Global, Hershey, PA, USA, pp. 286-326, 2015.
S. Dey, S. Bhattacharyya and U. Maulik, (eds. S. Bhattacharyya and P. Dutta), "Quantum Be-
haved Swarm Intelligent Techniques for Image Analysis: A Detailed Survey," Handbook of Research
on Swarm Intelligence in Engineering, IGI Global, Hershey, PA, USA, pp. 1-39, 2015.
S. De and S. Bhattacharyya, (eds. S. Bhattacharyya, P. Dutta and S. Chakraborty), "Color
Magnetic Resonance Brain Image Segmentation by ParaOptiMUSIG Activation Function: An Application," Hybrid Soft Computing Approaches: Research and Applications, Springer India Ltd.,
pp. 185-214, 2015.
H. Bhaumik, S. Bhattacharyya and S. Chakraborty, (eds. Ali Ismail Awad and M. Hassaballah),
"Redundancy Elimination in Video Summarization," Image Feature Detectors Foundations, Inno-
vations, and Applications, pp. 173-202, Springer International Publishing AG, Cham, Switzerland,
2015.
S. Dey, S. Bhattacharyya and U. Maulik, (eds. S. Bhattacharyya, P. Banerjee, D. Majumdar
and P. Dutta), "Optimum Gray Level Image Thresholding using a Quantum Inspired Genetic Al-
gorithm," Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications, pp.
349-377, IGI Global, Hershey, USA, 2015.
S. De, S. Bhattacharyya and S. Chakraborty, (eds. S. Bhattacharyya, P. Banerjee, D. Majumdar
and P. Dutta), "Multilevel and Color Image Segmentation by NSGA II Based OptiMUSIG Activation
Function," Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications, pp.
321-348, IGI Global, Hershey, USA, 2015.
H. Bhaumik, S. Bhattacharyya and S. Chakraborty, (eds. S. Bhattacharyya, H. Bhaumik, S. De
and G. Klepac), "Content Coverage and Redundancy Removal in Video Summarization," Intelligent
Analysis of Multimedia Information, pp. 352-374, IGI Global, Hershey, USA, 2016.
H. Bhaumik, M. Chakraborty, S. Bhattacharyya and S. Chakraborty, (eds. S. Bhattacharyya,
H. Bhaumik, S. De and G. Klepac), "Detection of Gradual Transition in Videos: Approaches and
Applications," Intelligent Analysis of Multimedia Information, pp. 282-318, IGI Global, Hershey,
USA, 2016.
S. Dey, S. Bhattacharyya and U. Maulik, (eds. S. Bhattacharyya, U. Maulik and P. Dutta),
"Quantum Inspired Multi-objective SA for Bi-level Image Thresholding," Quantum Inspired Com-
putational Intelligence: Research and Applications, pp. 207-232, Morgan-Kaufmann, 2016.
D. Konar, S. Bhattacharyya, B. K. Panigrahi and M. K. Ghose, (eds. S. Bhattacharyya, U. Maulik
and P. Dutta), "An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-
Organizing Neural Network Architecture," Quantum Inspired Computational Intelligence: Research
and Applications, pp. 149-205, Morgan-Kaufmann, 2016.
J. Ray and S. Bhattacharyya, (eds. V. Sugumaran, A. K. Sangaiah and A. Thangavelu), "Con-
ditional Value-at-Risk Based Portfolio Optimization Using Metaheuristic Approaches," Computa-
tional Intelligence Applications in Business Intelligence and Big Data Analytics, CRC Press, 2016.
(Accepted)
S. M. Islam, M. Banerjee and S. Bhattacharyya, (eds. S. Bhattacharyya, S. De, I. Pan and P. Dutta), "Dealing with Higher Dimensionality and Outliers in Content-Based Image Retrieval,"
Intelligent Multidimensional Data Clustering and Analysis, pp. 109-134, IGI Global, USA, 2016.
K. Chakraborty, S. Bhattacharyya and R. Bag, (eds. Nilanjan Dey, Samarjeet Borah, Amira S.
Ashour, and Rosalina Babo), "Sentiment Analysis on a set of Movie Reviews using Deep Learning
Techniques", Social Network Analytics - Computational Research Methods and Techniques, Elsevier,
2018. (Accepted)
S. Dey, S. Bhattacharyya and U. Maulik (ed. S. Bhattacharyya), "Quantum-Inspired Automatic
Clustering Technique Using Ant Colony Optimization Algorithm", Quantum-Inspired Systems for
Multimedia Data Analysis, pp. 27-54, IGI Global, USA, 2018.
P. Pal and S. Bhattacharyya (ed. S. Bhattacharyya), "True Color Image Segmentation by MUSIG
Activation Function Using Self-Supervised QMLSONN Architecture With Context Sensitive Thresh-
olding", Quantum-Inspired Systems for Multimedia Data Analysis, pp. 213-261, IGI Global, USA,
2018.
P. Pal, S. Bhattacharyya and N. Agrawal (ed. S. Bhattacharyya), "Grayscale Image Segmen-
tation With Quantum-Inspired Multilayer Self-Organizing Neural Network Architecture Endorsed
by Context Sensitive Thresholding", Quantum-Inspired Systems for Multimedia Data Analysis, pp.
141-177, IGI Global, USA, 2018.
S. Das, S. De and S. Bhattacharyya (ed. S. Bhattacharyya), "True Color Image Segmentation
Using Quantum Induced Modied Genetic Algorithm Based FCM Algorithm", Quantum-Inspired
Systems for Multimedia Data Analysis, pp. 55-94, IGI Global, USA, 2018.
Book Chapters