Mohammad Shabaz

Biographic Data

ID8698575
NAMEMohammad Shabaz
GIVEN NAMESMohammad
FAMILY NAMEShabaz
SIGNATURESHABAZ M
AFFILIATIONSIndian Institute of Technology Jammu
ORCID0000-0001-7522-9190
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0

  • A demographic-aware hybrid intelligence model for adaptive academic performance prediction in IT-based learning systems

    Open AccessKinjal D Raval, Mohammad ShabazARTICLEDiscover Education2026

    Forecasting student performance correctly in IT-based learning environments is challenging because of the wide range of learner demographics, learning styles, and contextual factors. Traditional machine learning methods frequently regard demographic attributes as static or additional inputs, so limiting their capacity to identify adaptive and cross-group learning patterns. To overcome this limitation, this study introduces a Demographic-Aware Hyb…

  • Cime

    Open AccessRui Wang, Chaopeng Guo et al.ARTICLEIEEE Transactions on Computational…2026

    Multimodal emotion analysis is pivotal in decoding complex human affect by integrating diverse data sources such as text, audio, and visual signals. In this article, we introduce contextual interaction-based multimodal emotion analysis with enhanced semantic information (CIME), a novel spatio-temporal interaction network that significantly improves emotion recognition accuracy and robustness. CIME employs a text-centric cross-modal attention mech…

  • Deep Learning Model for Interpretability and Explainability of Aspect-Level Sentiment Analysis Based on Social Media

    Open AccessNikhil Kumar Singh, Sanjay Agal et al.ARTICLEIEEE Transactions on Computational…2025

    The interactive attention graph convolution network (IAGCN), a novel model proposed in this article, will revolutionize aspect-level sentiment analysis (SA). IAGCN effectively addresses these key features, in contrast to prior research that ignored the meaning of aspect terms and their relationship with context. The model combines a modified dynamic weighting layer with bidirectional long short-term memory (BiLSTM) to accurately acquire context. …

  • Few-shot learning-based human behavior recognition model

    Open AccessV Mahalakshmi, Mukta Sandhu et al.ARTICLEComputers in Human Behavior2024

  • IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification

    Open AccessMukesh Soni, Nikhil Kumar Singh et al.ARTICLEIEEE Transactions on Computational…2023

    Traditional classification algorithms struggle to categorize hypertensive retinopathy (HR) lesions correctly because they lack obvious characteristics. A regional IoT-enabled federated learning-based HR categorization approach (IoT-FHR) incorporating global and local attributes is suggested as a solution to this issue. The local feature arterial and venous nicking (AVN) classification model is fused with the overall IoT-FHR classification model t…

  • Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem

    Open AccessAshima Kukkar, Dinesh Gupta et al.ARTICLEIEEE Transactions on Computational…2023

    Diabetic retinopathy (DR) is on the increase nowadays due to the high sugar level in the blood, and it is the reason for blindness that mainly occurs in middle-aged people. Furthermore, the Internet of Medical Things (IoMT) enabled computer-aided diagnostic (CAD) systems record DR-related data online and give patients with reassuring information. The internet allows for the interconnection of a variety of smart devices, enabling remote healthcare…

  • Transforming Learning to Online Education 4.0 during Covid-19

    Open AccessAnkur Gupta, Sahil Sawhney et al.ARTICLEEducation Research International2023

    Higher education institutions worldwide had to quickly pivot to delivering online classes as the COVID-19 pandemic set in. This disruption brought into focus institutional preparedness to ensure academic continuity, faculty proficiency in the use of ICT, and student readiness to adapt to an online-only model suggested in Education 4.0 framework. The Education 4.0 framework emphases to use advance technology and tools to transform education system…

  • Shabaz–Urvashi Link Prediction (Sulp)

    Open AccessMohammad Shabaz, Urvashi GargARTICLEJournal of Creative Communications2021

    With the growth of social networks, the problem of linking the isolated or missing nodes appears. Thus, link prediction comes into existence to resolve this problem. Link prediction may be defined as an approach to predict an optimistic relationship that may exist or is likely to exist between nodes. Predicting the prospect link formed in future between nodes either in a dense or sparse network, the number of techniques exist intending to establi…