Research Publications
1. A. K. Bansal and R. M. K. Sinha, Some Aspects of Pronoun
Disambiguation using Real World Knowledge, with R. M. K. Sinha, Proceedings of the Computer Society of
India, Hyderabad, India, (1984), c 2.6.1 - c 2.6.4.
2. A. K. Bansal and L. Sterling, AND-parallelism and
Stream-parallelism in Logic Programs, Proceedings
of the Workshop on Future Trends in Logic Programming ,
Austin, Texas, USA, (1987).
3. A. K. Bansal and L. Sterling, "Source-to-source
Transformation of Sequential Logic Programs to And-parallelism," Proceedings of the International
Conference on Parallel Processing, St. Charles, Illinois, USA,
(1987), 795 - 802
4. A. K. Bansal and L. Sterling, ``Compiling
Enumerate-and-filter programs for Efficient Execution Under Committed-choice
AND-parallelism", International
Conference on Parallel Processing, St. Charles, Illinois, USA,
August 1988, pp. 22-25.
5. A. K. Bansal and L. Sterling, ``A Scheme for Abstract
Interpretation of Logic Programs Based on Type Expression", International Conference on Fifth
Generation Computer Systems, Tokyo, Japan, November 1988, pp.
422-429.
6. A. K. Bansal and L. Sterling,``Transforming
Generate-and-test Logic Programs to Committed-choice And-parallelism" International Journal of Parallel
Programming, Volume 18, No. 5, 1989, pp. 401-446.
7. A. K. Bansal and L. Sterling, `` An Abstract Interpretation
Scheme for Identifying Inherent Parallelism in Logic Programs" New Generation Computing , Volume
7, No. 2 & 3, 1990, pp. 273-324.
8. A. K. Bansal and J. Potter, `` Exploiting Data Parallelism
for Efficient Execution of Logic Programs with Large Knowledge Bases", Proceedings of the International
Conference of Tools for Artificial Intelligence ,
Washington D. C., USA, 1990, pp. 674 - 681
9. A. K. Bansal and D. Poduval, Applying Abstract
Interpretation to Identify Vectorizable Numerical Code in Logic Programs,
Proceedings of the International Workshop on Compilation of Symbolic Languages
for Parallel Computers, San Diego, USA, (1991), 108 - 110.
10. A. K. Bansal and D. Poduval, `` Static Analysis to Identify
Vectorizable Numerical Domain in Logic Programs for Efficient Execution of
Scientific Expert Systems", Proceedings
of the Third Scanadinavian Conference on Artificial
Intelligence, Denmark, 1991, pp. 193 - 204.
11. A. K. Bansal, J. Potter, and L. Prasad, `` Data Parallel
Compilation and Extending Query Power of Large Knowledge Bases", International Conference of Tools with
Artificial Intelligence, 1992, pp. 276-283.
12. A. K. Bansal and J. Potter, `` An Associative Model for
Minimizing Matching and Backtracking Overhead in Logic Programs with Large
Knowledge Bases", Engineering
Applications of Artificial Intelligence , Volume 5, Number 3, 1992,
Permagon Press, pp. 247-262.
13. A. K. Bansal and J. Potter, `` Associative Prolog", in
Associative Computing, Plenum publishers, 1992, pp. 213 - 242.
14. A. K. Bansal and J. Potter, ``A Data Parallel Shell for
Large Knowledge Bases", in Knowledge
Engineering Shells: Systems and Techniques, Voulme
2}, Ed. Nik Bourbakis, World Scientific Publishers, pp. 399 - 430.
15. A. K. Bansal, "Towards
a Formal Computational Model for Associative Logic Programming,"
Proceedings of the International Workshop on Data Parallel Implementation of
Declarative Languages, Genoa, Italy, (1994), pp. 11 - 20.
16. A. K. Bansal, ``An
Associative Model to Integrate Knoweledge Retrieval
and Data Parallel Computation" , International
Journal on Artificial Intelligence Tools, Volume 3, Number 1, 1994,
pp. 97-125.
17. A. K. Bansal, L. Prasad, and M. Ghandhikota, ``A Formal Associative Model of Logic Programming and
its Abstract Instruction Set," International
Conference of Tools with Artificial Intelligence, November 1994,
pp. 145-151.
18. J. Potter, J. Baker, A. K. Bansal, S. Scott, C. Asthagiri, ``ASC: An
Associative-Computing Paradigm," IEEE
Computer, Vol. 27, No. 11, 1994, pp. 19-25, also available as a
book chapter in in Associative
Processing and Processors, eds. Krikelei and Weems, IEEE Computer
Society Press, 1997, pp. 188-194.
19. A. K. Bansal, ``Establishing
a Framework for Comparative Analysis of Genome Sequences", International Symposium on Intelligent
Systems for Neural and Biological Systems, Herndon, Virginia, USA,
1995, pp. 84-91.
20. A. K. Bansal, ``A
Framework for Heterogeneous Associative Logic Programming," International Journal for Tools for
Artificial Intelligence , 1995, Vol. 4, Nos. 1 & 2, pp. 33-53
21. A. K. Bansal, P. Bork, and P. Stuckey, A Framework for Comparative Analysis of Complete
Prokaryotic Genome Sequences, International
Conference on Mathematical and Scientific Computing, 1997, pp. 52.
22. A. K. Bansal, K. RammohanaRao, A.
Rao, "A Distributed Storage Scheme for
Replicated Beliefs to Facilitate Recovery in Distributed System of Cooperating
Agents," Fourth
International Workshop on Agent Theory, Architecture, and Languages,
1997, pp. 71 - 84, also in Intelligent Agents IV: Agent Theories, Architectures
and Languages, Vol. 1365, Springer Verlag Series, 1998, pp. 77 - 91.
23. S. Ryan and A. K. Bansal, "A Scalable Distributed
Heterogeneous Associative Logic Programming System," Proceedings of the International
Conference for Tools with Artificial Intelligence, November 1997,
pp. 37 - 44.
24. A. K. Bansal, P. Bork, P. Stuckey, ``Automated Pair-wise Comparisons of Complete
Microbial Genomes", Mathematical
Modeling and Scientific Computing , Vol. 9, Issue 1, 1998,
pp. 1 – 23.
25. A. K. Bansal, "An Associative Data Parallel Compilation
Model for Tight Integration of High Performance Knowledge Retrieval and
Computation,", Artificial Intelligence and Automation, Advanced Series on
Artificial Intelligence - Vol. 3, ed. Nikolas G. Bourbakis, publisher: World
Scientific, ISBN: 981-02-2637-3, pp. 256-283.
26. A. Vitreschak, A. K. Bansal, M. S. Gelfand, "Conserved RNA structures
regulate initiation of translation of Escerichia coli
and Haemophilus influenzae ribosomal protein operons," Abstract of International School on Theoritical Biophysics ,
Moscow, June 1998, pp. 105, (abstract).
27. A. Vitreschak, A. K. Bansal, M. S. Gelfand, "Conserved RNA structures regulate
initiation of translation of Escerichia coli and
Haemophilus influenzae ribosomal protein operons," Abstract of First International
Conference on Bioinformatics of Genome Regulation and Structure, August
1998, pp. 229, (abstract)
28. A. K. Bansal and P. Bork, "Applying
Logic Programming to Derive Novel Functional Information in Microbial
Genomes," Proceedings
of the First International Workshop on Practical Aspects of Declarative
Languages , January 1999, Lecture Notes in Computer
Science, Publisher: Springer Verlag, No. 1551, pp. 274 - 289.
29. S. W. Ryan and A. K. Bansal, "Applying
Java for the Retrieval of Multimedia Knowledge Distributed on High Performance
Clusters on the Internet," Proceedings
of the International Conference on Practical Applications of Java ,
London, UK, April 1999, pp. 193-203.
30. S. W. Ryan and A. K. Bansal, "A
Scalable Distributed Associative Multimedia Knowledge Base System for the
Internet", Proceedings
of the 8th International Conference on Intelligent Systems ,
Denver, Colarado, 1999, pp. 1-6
31. V. Anderson and A. K. Bansal, "A
Distributed Scheme for Efficient Pairwise Complete Genome Comparison," Proceedings
of the International Conference of Information, Intelligence and Systems,
Washington D. C., November 1999, pp. 48-55.
32. A. Vitreschak, A. K. Bansal, I. I. Titov, M. S. Gelfand, "Conserved RNA structures regulate initiation
of translation of Escerichia coli and Haemophilus
influenzae ribosomal protein operons," "Biofizika", 44:4 (1999)
601-610, selected for full paper from the abstract presentation in BGRS'98.
33. Arvind K. Bansal, " An
Automated Comparative Analysis of Seventeen Complete Microbial Genomes," Proceedings of the Second
International Georgia Tech Conference" (1999)
pp. 36-37, abstract, accessed on July 17, 2004.
34. Arvind K. Bansal, "An
Automated Comparative Analysis of Seventeen Complete Microbial Genomes," Bioinformatics , Volume
15, Issue 11 (1999) pp. 900 - 908, downloadable
version in PDF, selected for full paper from Second International Georgia
Tech Conference abstract presentation in July 1999.
35. S. W. Ryan and A. K. Bansal, "A
Scalable Distributed Multimedia Knowledge Retrieval System on a Cluster of
Heterogeneous Architectures over the Internet," The International Journal for Tools
with Artificial Intelligence, 9:3 (2000), 343 - 367.
36. A. K. Bansal, "A Framework
of Automated Reconstruction of Microbial Metabolic Pathways," IEEE International Symposium on
Bioinformatics and Biomedical Engineering ,
Washington, November 2000, pp. 184 – 191.
37. S. W. Ryan, A. K. Bansal, T. Kapoor, "A Distributed Multimedia Knowledge Based
Environment for Modeling over the Internet," Proceedings of the International
Conference for Tools with Artificial Intelligence, November 2000,
pp. 140-146.
38. A. K. Bansal, T. Kapoor, and R. Pathak, "Extending XML for Graph Based Visualization of
Complex Objects and Animation Over the Internet," Proceedings of the Second
International Conference on Internet Computing, Las Vegas, June
2001, pp. 750 - 756.
39. A. K. Bansal, "Integrating
Co-regulated Gene-groups and Pair-wise Genome Comparisons to Automate
Reconstruction of Microbial Pathways," IEEE International Symposium on Bioinformatics and
Biomedical Engineering , Washington, November 2001, pp. 209-216
40. A. K. Bansal and T. E. Meyer, "Evolutionary Analysis by Whole Genome
Comparisons," Journal
of Bacteriology, Volume 184, No. 8, April 2002, 2260-2272
41. A. K. Bansal and C. J. Woolverton, ,
"Applying Automatically Derived Gene-groups to Automatically Predict and
Refine Microbial Pathways," IEEE
Transactions of Knowledge and Data Engineering, Volume 15, Number
4, July/August 2003, 12 pages, pp. 883-894
42. A. K. Bansal and R. Pathak, "A
Server Coordinated Predictive Buffer Management Scheme to Reduce Bandwidth
Requirement for Synthetic Multimedia Movies over the Internet," Post-proceedings of the Fourth
International Conference on Internet Computing, Las Vegas, 2003, Volume
II, pp. 831-837
43. A. K. Bansal and R. Pathak, "Transmitting
High Quality Archived Object-based Movies with Reduced Bandwidth
Requirement," Proceedings
of the 2nd IASTEAD International Conference COMMMUNICATIONS, INTERNET, &
INFORMATION TECHNOLOGY, Scottsdale, Arizona, November 2003, pp.
553-560
44. B. Simoes and Arvind K. Bansal, "Interactive 3D Dynamic Object
Based Movies," Proceedings
of the Fifth International Conference on Internet Computing, Las
Vegas, 2004, Vol. II, pp. 708-714
45. A. Guercio and A. K. Bansal, "A Model for Integrating
Deterministic and Asynchronous Events in Reactive Multimedia Internet Based
Languages," Proceedings
of the Fifth International Conference on Internet Computing, Las
Vegas, 2004, Vol. I, pp. 46-52
46. B. Simoes and A. K. Bansal, "Voice Based Interactive
Modification of Web Based Movies," Proceedings
of the IASTED International Conference of Internet and Multimedia Systems and
Applications , Hawaii, 2004, pp. 53-58.
47. A. K. Bansal and S. Uddin, "Multimodal Triggers for Automated
Filtering and Reactivity based on WWW Content," Proceedings of the IASTED
International Conference of Internet and Multimedia Systems and Applications, Hawaii,
2004, pp. 311-316.
48. A. Guercio and A. K. Bansal, "TANDEM
- Transmitting Asynchronous Non Deterministic and Deterministic Events in
Multimedia Systems over the Internet," Proceedings of the International Conference on
Distributed Multimedia Systems, September 2004, San Francisco, CA,
USA, pp. 57-62
49. A. Guercio, B. Simoes, and A. K. Bansal, "Towards Large Scale Voice Activated
Dynamic and Interactive Internet Based Animation AND Modeling," Proceedings of the IASTED
International Conference on Software Engineering and Applications (SEA 2004),
Cambridge, Massachussets, 2004, pp. 749-754.
50. A. K. Bansal, "Exploiting
Systemic Biological Modeling for Trigger Based Adaptation in Networked
Intelligent Multi-Agent Systems," Proceedings
of the IEEE International Conference on Tools with Artificial Intelligence
(ICTAI 2004), Boca Raton, USA, Nov. 2004, pp. 761-768.
51. A. K. Bansal, Bioinformatics in microbial biotechnology - a
mini review, Microbialcell Factories 2005, 4:19,
published June 28, 2005, available on http://www.microbialcellfactories.com/content/pdf/1475-2859-4-19.pdf"
52. T. E. Meyer and A. K. Bansal, "Elevated CG Content in
Hyperthermophile can Resolve Evolutionary Discrepancies between Analysis using
Whole Genome Comparisons and 16SrRNA," Biochemistry , August 2005; 44(34) pp 11458 -
11465
53. A. Guercio, A. K. Bansal, T. Arndt, "Synchronization in Distributed Multimedia
Systems," Proceedings
of the International Conference on Distributed Multimedia Systems, 2005,
Baniff, Canada, pp. 34-39
54. A. Bansal, "Incorporating
Fault Tolerance in Distributed Agent Based Systems by Simulating Biocomputing
Model of Stress Pathways," SPIE
Defence and Security Symposium ,
Orlando, Florida, April 2006, Vol. 6201, pp. 620108-01 - 62010810
55. A. K. Bansal and Y. Hijazi, "Low Bandwidth Video Conversation
Using Anatomical Reconstruction of Facial Expressions Over the Internet",
IADIS International
Conference on WWW/Internet, October 2006, Murcia, Spain, pp.
154-161
56. A. Guercio and A. K. Bansal, "Towards a Formal
Semantics of Distributed Multimedia Computing", Proceedings of the International
Conference on Distributed Multimedia Systems, September 2007, San
Francisco, USA, pp. 81-86.
57. A. Guercio, A. K. Bansal, and T. Arndt, "Language
Constructs and Synchronization in Reactive Multimedia Systems," ISAST Transactions on Computers and
Software Engineering, No. 1, Volume 1, November 2007, pp. 52-59.
58. Arvind K. Bansal, "Role of Bioinformatics in the
Development of Anti-infective Therapy," Expert
Review of Antiinfective Therapy , Volume
6, Issue 1, Feb 2008, pp. 51-65.
59. Mehdi Ghayoumi and Arvind K. Bansal, "An Integrated
Approach for Efficient Analysis of Facial Expressions, " 11th
International Conference of Signal Processing and Multimedia Applications,
Vienna, Austria, August 2014, pp. 211-219.
60. M. Ghayoumi and A. K.
Bansal, Unifying Geometric Features and Facial Action Units for Improved
Performance of Facial Expression Analysis, Proceedings of the International
Conference on Circuits, Systems, Signal Processing, Communications and
Computers (CSSCC 15), Recent Advances in Electrical Engineering Series, ISBN: 978-1-61804-285-9 , Vienna, Austria, March 2015, pp. 259-266.
61. P. R.
Gawde, A. K. Bansal, and J. Nielson, "Applying Markov Model for Automated
Classification of Supraventricular Dysrhythmia," International
Conference on Health Informatics and Medical Systems (HIMS), Eds: H. R.
Arabnia and L. Deligiannidid, Las Vegas, July 2015, pp. 10-16.
62. M. Thafar and A. K.
Bansal, “An Abstract Model of Multimodal Fusion Using Fuzzy Sets to
Derive Interactive Emotions,” International Conference of Artificial
Intelligence (ICAI'16), Las Vegas, July 2016, pp. 258-264.
63. S. Aljehane and A. K.
Bansal, “Distributed Objects Based Programming Constructs for PGAS Based
High Performance C++,” Proceedings of the 22nd International
Conference on Parallel and Distributed Processing Techniques and Applications
PDPTA'16), Las Vegas, 2016, pp. 24-30.
64. M. Ghayoumi and A. Bansal, "Real Emotion Recognition Algorithm by
Detecting Symmetry Patterns with Dihedral Group," Proceedings of the
3rd International Conference on Mathematics and Computers in Science and
Industry, Greece, August 2016.
65. M. Ghayoumi and A. Bansal, "Emotion in Robot using Convolutional
Neural Networks.", 8th Proceedings of the International
Conference on Social Robotics (ICSR 2016), Kansas City, USA, Known
citations: 7, LNAI 9979, Springer Verlag, November 2016, pp. 285-295.
66. M. Ghayoumi, M.
Thafar, A. K. Bansal" Towards Formal Multimodal Analysis of Emotions for
Affective Computing, " International Conference on Distributed
Multimedia Systems, Salerno, Italy, Nov. 2016, pp. 48-54.
67. M. Ghayoumi and
A. K. Bansal, “Architecture of Emotion in Robots Using Convolutional
Neural Networks”, International Conference in Robotic Science and
Systems, University of Michigan, Dearborn, USA, Nov. 2016.
68. M. Ghayoumi, M.
Thafar, A. Bansal, “A Formal Approach for Multimodal Integration to
Derive Emotions,” Journal of Visual Languages and Sentient Systems,
Vol. 2, 2016, pp. 48-54.
69. M. Ghayoumi and Arvind K. Bansal, “Multimodal Architecture for Emotion in
Robots Using Deep Learning”, Future Technologies Conference, San
Francisco, CA, USA, December 2016, pp. 901-907.
70. P. R. Gawde, A. K.
Bansal, and J. Nielson, “Integrating Markov Model and Morphology Analysis
for Automated Finer Classification of Ventricular Arrhythmia in Real
Time,” IEEE International Conference in Biomedical and Health
Informatics, Orlando, Florida, USA, February 2017, pp. 409 – 412.
71. M. Ghayoumi, A. K.
Bansal, “Improved Human Emotion Recognition Using Symmetry of Facial Key
Points with Dihedral Group,” International Journal of advanced studies
in Computer Science and Engineering, Vol 6 Issue 01, pp.25-33, 2017, (arXiv:1706.07757v1 [cs.CV].
72. P. R. Gawde, A. K.
Bansal, J. Nielson and J. Khan, “Bivariate Markov Model Based Analysis of
ECG for Accurate Identification and Classification of Premature Heartbeats and
Irregular Beat Patterns,” IEEE International Conference on Intelligent
Systems (Intellisys), London, UK, 6-7 September 2018, pp. 850-859,
(Acceptance rate 30%), Also available as part of Book Series Intelligent
Systems and Applications (AISC), K. Arai et. el. (Editors), Vol. 869, 2019,
Springer, Cham, pp. 265-285, DOI: 10.1007/978-3-030-01057-7_22.
73. A. Singh and A. K.
Bansal, “Towards Modeling Gestures for
Non-Emotional Conversational Interaction by Humanoid Robots,” International
Conference on Computer Applications in Industry and Engineering, New
Orleans, USA, 8-10 October 2018, pp. 59-64, finalist for best paper award.
74. Purva R. Gawde,
Arvind K. Bansal and J. Nielson “Integrating Markov Model, Bivariate
Gaussian Distribution and GPU based Parallelism for Accurate Real-time
Diagnosis of Arrhythmia Subclasses,” IEEE Future Technologies
Conference (FTC), Vancouver, BC, Canada, 13-14, November 2018, available as Book
Series Intelligent Systems and Applications (AISC), K. Arai et. el. (Editors),
Vol. 880, 2019, Springer, Cham, pp. 569-588, DOI: /10.1007/978-3-030-02686-8.
75. A. Singh and A. K.
Bansal, “A Declarative Model and an Inference
Engine to Generate Non-emotional Head-based Conversational Gestures for
Human-humanoid Interactions,” accepted for publication, International
Journal of Computers and Their Applications, Vol. 26, No. 2, June 2019, pp.
49-66.
76. A. Singh and A. K. Bansal, “Towards
Synchronous Model of Non-Emotional Conversational Gesture Generation in
Humanoids,
Computing Conference, London, UK, July 16-18, 2021, available as Book Chapter in Intelligent
Computing: Lecture Notes in Networks and Systems Series, K. Arai et. el.
(Editor), Vol. 283(1), 2021, Springer, Cham, Switzerland, pp. 737-756.
77. Arvind K. Bansal and
Mehdi Ghayoumi, “A Hybrid Model
to Improve Occluded Facial Expressions Prediction in the Wild during
Conversational Head Movements,” The Tenth International Conference on Intelligent Systems and
Applications
(INTELLI 2021), 18-22 July 2021, Nice, France, pp. pp. 36-42, Best
Paper award, available at https://www.iaria.org/
conferences2021/filesINTELLI21/INTELLI_60021.pdf
78. Arvind K. Bansal and
Mehdi Ghayoumi, “A Symmetry-based
Hybrid Model to Improve Occluded Facial Expressions Prediction in the Wild
during Conversational Head Movements,” The International
Journal on Advances in Life Sciences, v 13 n 1&2, December 2021, pp. 65-74,
available at https://www.iariajournals.org/life_sciences/lifsci_v13_n12_2021_paged.pdf.
79. A. Singh and A. K.
Bansal, “Automated Real Time Recognition of Non-emotional Conversational
Head Gestufor Social Robots,” In: Proceedings
of the Future Technology Conference (FTC 2022), October 2022, Vancouver,
Canada, Vol. 3, available as Lecture Notes in Networks and Systems, Vol. 561,
Springer Verlag, pp. 432-450, doi: 10.1007/978-3-031-18344-7_29.
80. Arvind K. Bansal and
Racheal Mukisa, “Applying
Deep Learning Techniques in Automated Analysis of Echocardiograms, CMRs and
Phonocardiograms for the Detection and Localization of Cardiac Diseases,
In: Proceedings of the International Conference on Artificial Intelligence
and Applications (IARIA 2022), Venice (and Virtual), Italy, July 2022, pp.
36-42, ISBN: 978-1-61208-977-5, Best paper
award, available at https://www.thinkmind.org/articles/intelli_2022_1_
70_60033.pdf
81. B. Bellamo. H.
Piontkivska and A. K. Bansal, “Variations of miRNA Target Sites in Human
Genome,” in: Proceedings of the International Conference of
Bioinformatics and Computational Biology (BICoB 2022), Epic Series in
Computing, Vol. 83, 2022, pp. 96-107, available at https://easychair.org/publications/paper/sqS7.
82. A. Singh and A. K.
Bansal, “Synchronized Colored Petri Net based Multimodal Modeling and
Real-time Recognition of Conversational Spatial Deictic Gestures, Proceedings
of the Computing Conference, June 2023, London, UK, vol. 2, available as
Lecture Notes in Networks and
Systems, Vol. 739, Springer Nature, Cham, Switzerland, pp. 1227-1246, doi: 10.1007/978-3-031-37963-5.
83. A. Singh and A. K.
Bansal, “An Integrated Model for Automated
Identification and Learning of Conversational Gestures in Human-Robot
Interaction,” In: Daimi, K., Alsadoon, A., Coelho,
L. (eds), Cutting Edge Applications of Computational
Intelligence Tools and Techniques, Studies in Computational Intelligence, vol. 1118, pp. 33-61, Springer Nature, Cham,
Switzerland, 2024, https://doi.org/10.1007/978-3-031-44127-1_3.
84. A. Singh and A. K.
Bansal, “An Integrated Analysis to Identify Iconic Gestures in
Human-Robot Interactions,” IEEE International Conference on
Intelligent Systems (Intellisys), Amsterdam, Netherlands, Sept.
2023, Lecture Notes in Networks and Systems, vol. 822, Springer, Chams,
Switzerland, to appear, Feb. 2024.
85. Neha and A. Bansal, “A novel DenseSIFT U-NET based
approach to perform Kidney Tumor semantic segmentation”, Proceedings
of IEEE 1st DMIHER International Conference on
Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), Wardha, Maharashtra, India, November 2023, pp.
1-6.
86. A. Singh and A. K.
Bansal, “An Integrated Model for Automated
Identification and Learning of Conversational Gestures in Human-Robot
Interaction,” In: Daimi, K., Alsadoon, A., Coelho,
L. (eds), Cutting Edge Applications of Computational
Intelligence Tools and Techniques, Studies in Computational Intelligence, vol. 1118, pp. 33-61, Springer Nature, Cham,
2024, https://doi.org/10.1007/978-3-031-44127-1_3.
87. FNU Neha and Arvind
K. Bansal, “Understanding the Architecture of Vision Transformer and its
Variants,” First IEEE International
Conference on Innovative Engineering Sciences & Technological Research
(ICIESTR-2024), Doha, Oman, May 2024, in press.
88. R. Mukisa and A. K.
Bansal, “Cardiac MRI Semantic Segmentation for Ventricles and Myocardium
using Deep Learning,” Accepted for publication and presentation, Computing
Conference, London, UK, July 2024, in press.
89. Racheal Mukisa and
Arvind K. Bansal, “DADU – Dual Attention based Deeply Supervised
UNet for Automated Semantic Segmentation of Cardiac Images,” submitted
for publication, accepted for publication and presentation in the Future
Technology Conference, London, UK, 2024, in press.
90. FNU Neha and Arvind
K. Bansal, “Multilayer Feature Fusion with Cross-channel Attention-based
U-Net for Kidney Tumor Segmentation,” accepted for publication and
presentation in the 11th International
Conference on Biomedical Engineering and Systems, Barcelona, Spain, August
2024, in press.