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# Published Date Details
61.01-02-2026NetPhish-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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62.01-02-2026“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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63.01-02-2026An 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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64.01-02-2026IAENG 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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65.01-02-2026Hybrid AI-driven anomaly detection and sequential attack classification for securing IoT networks
Authors: Gauri Sameer Rapate, Ambuja Krishnappa, Sarala Duggonahalli Veeresh
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66.01-02-2026An 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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67.01-02-2026IAES 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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68.01-02-2026“SHAP-Based Explainability for Local and Global Insights in Alzheimer's Detection”, Engineering, Technology & Applied Science Research, Volume: 16,Issue: 1, Pages: 30940-30947, February 2026..
Authors: Shraddha Khanapur, Jyothi S. Nayak, B. S. Rajeshwari, M. Namratha, Chirag B. Bharadwaj, Raghav Bhardwaj
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69.01-02-2026SHAP-Based Explainability for Local and Global Insights in Alzheimer's Detection, Engineering, Technology & Applied Science Research, Volume 16, Issue 1,pp- 30940-30947
Authors: Shraddha Khanapur, Jyothi S Nayak, BS Rajeshwari, M Namratha, Chirag B Bharadwaj, Raghav Bhardwaj
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70.31-01-2026Robust Emotion Recognition Multimodal Using an Optimized Cross-Modal Data Fusion Framework
Authors: Monika Sharma D 1* , Sonika Sharma D 2 , Mohanish B M 3 , Shashank Dhananjaya 4 , Reshma J 5 , Dhruva M S 6 , Chaithra C P 6
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71.30-01-2026A COMPREHENSIVE STUDY ON INTELLIGENT INVENTORY MANAGEMENT AND PRODUCT DEMAND FORECASTING USING MACHINE LEARNING TECHNIQUES, Shubha Rao V, Bindushree B, Deepak V, Achhutha Gowda N,Int. J. Appl. Math. (IJAM), pISSN 1311-1728, eISSN 1314-8060, Vol. 39 No. 1s (2026)
Authors: Shubha Rao V, Bindushree B, Deepak V, Achhutha Gowda N
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72.30-01-2026MOBILE CLOUD OFFLOADING FRAMEWORK Shubha Rao V, Sneha Girish, Ananthanarayanan Venkitakrishnan, Arjun A, Arjun P Chandra, Int. J. Appl. Math. (IJAM), pISSN 1311-1728, eISSN 1314-8060, Vol. 39 No. 1s (2026)
Authors: Shubha Rao V, Sneha Girish, Ananthanarayanan Venkitakrishnan, Arjun A, Arjun P Chandra
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73.19-01-2026Detection of Fake News utilizing Machine Learning Approaches, Grenze International Journal of Engineering and Technology, Vol. 12, Jan 2026
Authors: Gajendra N, Bhavani K
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74.10-01-2026Cross-Site Scripting Attack Detection: A Comparative Study of Traditional and Deep Learning-Based Solutions Grenze International Journal of Engineering and Technology, June Issue, Grenze ID: 01.GIJET.11.2.685_21 © Grenze Scientific Society, 2025
Authors: Dr. Latha N.R., Bharath M.B
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75.09-01-2026Dual 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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76.07-01-2026Abdullah, R.Y., Venkatesan, C., Naresh, E. et al. AI driven hybrid convolutional and transformer based deep learning architecture for precise lung nodule classification. Sci Rep 16, 3257 (2026). https://doi.org/10.1038/s41598-025-34569-0
Authors: R. Yasir Abdullah, C. Venkatesan, E. Naresh & B. P. Pradeep Kumar
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77.05-01-2026Hydrogen 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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78.03-01-2026Domain-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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79.02-01-2026Brain stroke detection using neuro imaging
Authors: Swathi Sridharan
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80.31-12-2025Ashwitha, A., Srinidhi, N. N., Naresh, E., Guruprasad, M. S., & Sreenivasa, N. (2025). COA Based Adaptive Neuro-Fuzzy Inference System: Machine Learning Approach for Crop Yield Prediction to Promise Agricultural Sustainability. SN Computer Science, 6(8), 999.
Authors: Ashwitha, A., Srinidhi, N. N., Naresh, E., Guruprasad, M. S., & Sreenivasa, N
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