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# Published Date Details
1.01-08-2026A Risk-Aware Communication Framework for Intelligent Transportation Systems Using Machine Learning-Based Severity Scoring and Message Prioritization
Authors: M Vinayaka, Selva Kumar S, Syed Akram
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2.09-04-2026Few-shot learning for classification of SEM images from green-synthesized nanoparticles of Momordica cymbalaria. Springer Scientific Reports, 9th April,2026). https://doi.org/10.1038/s41598-026-46307-1 (Web of Science Indexed: Q1)
Authors: Umadevi Venkatappa, Savithri Bhat, Mukta Dixit, H. S. Aishwarya, Anjan Kumar, K. Devaki Devi & Sreedevi Esuralla
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3.16-03-2026Identification of Diseases in Tea Crops using a Computational Convolutional Neural Network Model for Enhanced Crop Production
Authors: Annapoorna B.R, Shravya A.R, Sagar K.R, Poornima N
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4.01-03-2026“A novel push pull optimization algorithm fostered deadline aware task scheduling in virtualized cloud computing”, Franklin Open, Volume 14, 100499, ISSN 2773-1863.
Authors: Rajeshwari B S, Namratha M, Nikhil Srikanth, Nagaraj Vasudev Halatti, Pooja Srinivasan
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5.26-02-2026Dynamic Kannada Sign Language Recognition On Resource Constrained Devices, Springer Scientific Reports, 26th February, 2026. https://doi.org/10.1038/s41598-026-40181-7 (Web of Science Indexed Q1)
Authors: Umadevi V, Nishanth K S, Navneeth K S, Prabhanjan Prashanth Bhat, and Pranav Srinivas
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6.21-02-2026A multi-scale deep learning approach for nutrient deficiency detection in banana plants using adaptive feature pooling. Neural Comput & Applic 38, 71 (2026).
Authors: C. K. Sunil, R. Anusha, C. K. Raghavendra & Guowei Dai
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7.06-02-2026A temperature- and impedance-aware LSTM–PINN framework for physically consistent battery SOH prediction-(Scientific Reports)
Authors: Prajakth N. Kumar, Praneeth R. Upadhya, S. Nischay, G. Pavan Kumar, Shobana T. S. , Rashmi K. B.
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8.03-02-2026Hybrid AI-driven anomaly detection and sequential attack classification for securing IoT networks
Authors: Gauri Sameer Rapate1, Ambuja Krishnappa2, Sarala Duggonahalli Veeresh2, Karanam Sunil Kumar3, Bellary Kursheed4
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9.01-02-2026Zero-Shot Object Tracking Using a Hybrid Deep Learning and Classical Machine Learning Model
Authors: Madhavi RP, Karanam Sunil Kumar, Supreeth S
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10.01-02-2026NetPhish-Mix: A Multi-Modal Phishing Detection Method Utilizing URL Graphs and Page Screenshot Vision Transformer, Engineering, Technology & Applied Science Research
Authors: Praveen N
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11.01-02-2026“Hybrid machine learning framework for chronic disease risk assessment”, International Journal of Electrical and Computer Engineering (IJECE), Vol. 16, No. 1, February 2026, pp. 321~332, ISSN: 2088-8708, SCOPUS- Q3 [Online], DOI: 10.11591/ijece.v16i1.pp321-332
Authors: Harini Shadaksharappa, Rashmi K. B., Shreyas D. K., Somanath Mikali, Vishesh P. Gowda, Uday Shankar C. A., Siddarth B. Iyerr
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12.01-02-2026An intelligence framework for threat detection and response in cloud–IoT-assisted enterprise environments
Authors: Amith Shekhar Chandrashekhar1, Sarala DV2, AmbujaK2, Rajani Kallhalli Channarayappa3, Karanam Sunil Kumar4
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13.01-02-2026IAENG International Journal of Computer Science, Volume 53,Issue 2,PP 601-608, ISBN 1819-9224 1819-656X
Authors: Madhavi RP, Karanam Sunil Kumar, Supreeth S
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14.01-02-2026Hybrid AI-driven anomaly detection and sequential attack classification for securing IoT networks
Authors: Gauri Sameer Rapate, Ambuja Krishnappa, Sarala Duggonahalli Veeresh
Link
15.01-02-2026An intelligence framework for threat detection and response in cloud–IoT-assisted enterprise environments
Authors: Amith Shekhar Chandrashekhar, Sarala D V, Ambuja K
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16.01-02-2026IAES International Journal of Artificial Intelligence (IJ-AI)Vol.15, No.1, February2026, pp. 756~765ISSN: 2252-8938,DOI: 10.11591/ijai.v15.i1.pp756-765
Authors: Prameetha Pai, Namitha S.J., Sowmya T., Amutha S., Nisarga Gondi
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17.09-01-2026Dual module- wider and deeper stochastic gradient descent and dropout based dense neural network for movie recommendation, Sci Rep 16, 1210 (2026).
Authors: Raghavendra C. K, Srikantaiah K. C, Sunil C. K.
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18.05-01-2026Hydrogen uptake prediction in porous carbon materials explained by decision tree machine learning Algorithms: From experimental data to interpretable predictions, International Journal of Hydrogen Energy, Volume 197, 2026, 152704, ISSN 0360-3199, https://doi.org/10.1016/j.ijhydene.2025.152704. (Q1 Journal)
Authors: Hemanth Sunkara , Shravani Bhat A S , Namitha R, Sushmitha Acharya , Selva Kumar Shekar, Krishnamurthy Sainath, Shabnam Siddiqui
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19.03-01-2026Domain-Adaptive Multitask BERT with Graph Context Modeling for Code-Mixed Hinglish Sentiment Classification
Authors: Rahul Mishra , Sarala D. V. , Bhimavaram, Prabhat Kumar Ravi, Mohali, Harika Devi, Koneru Lakshmaiah ,Satyajee Srivasta
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20.02-01-2026Brain stroke detection using neuro imaging
Authors: Swathi Sridharan
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