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Akshma Chadha

ORCID: 0000-0002-8957-5526
Observed ORCID: 0000-0002-8957-5526
OpenAlex ID: A5015205401
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data
2022 · Akshma Chadha, Baijnath Kaushik · New Generation Computing · 55
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Performance evaluation of learning models for intrusion detection system using feature selection
2023 · Baijnath Kaushik, Reya Sharma, et al. · Journal of Computer Virology and Hacking Techniques · 43
A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning
2019 · Akshma Chadha, Baijnath Kaushik · The Computer Journal · 42
Performance Evaluation of Learning Models for Identification of Suicidal Thoughts
2021 · Akshma Chadha, Baijnath Kaushik · The Computer Journal · 19
Performance Evaluation of Learning Models for the Prognosis of COVID-19
2023 · Baijnath Kaushik, Akshma Chadha, et al. · New Generation Computing · 13
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Machine Learning Model for Sentiment Analysis on Mental Health Issues
2023 · Baijnath Kaushik, Akshita Sharma, et al. · International Conference on Computer and Automation Engineering · 11
Suicidal Ideation Detection on Social Media: A Machine Learning Approach
2022 · Akshma Chadha, Anish Gupta, et al. · International Conference on Technological Advancements in Computational Sciences (ICTACS) · 11
Machine Learning based Dataset for Finding Suicidal Ideation on Twitter
2021 · Akshma Chadha, Baijnath Kaushik · International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) · 11
Suicidal Ideation from the Perspective of Social and Opinion Mining
2019 · Akshma Chadha, Baijnath Kaushik · Lecture notes in electrical engineering · 10
A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19
2025 · Baijnath Kaushik, Akshma Chadha, et al. · Engineering Applications of Artificial Intelligence · 7
A fine-tuned adaptive weight deep dense meta stacked transfer learning model for effective cervical cancer prediction
2025 · Baijnath Kaushik, Abhigya Mahajan, et al. · Physica Scripta · 5
Machine and Deep Learning Classifiers for Indic Scripts Recognition: Challenges and Research Perspective
2022 · Anish Gupta, Reya Sharma, et al. · International Conference on Technological Advancements in Computational Sciences (ICTACS) · 4
Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration
2024 · Davinder Paul Singh, Baijnath Kaushik, et al. · Lecture notes in networks and systems · 3
Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction
2023 · Akshita Sharma, Baijnath Kaushik, et al. · Concurrency and Computation Practice and Experience · 2
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SVM–XGBoost Geometric–Gradient Architecture (SXGA): A Robust and Interpretable Hybrid Framework for Classification of Psychological Constructs Using DASS-21, SWLS, and BFI-10.
2025 · Yugam padha, Shruti Gupta, et al. · Research Square
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A novel computational intelligence model using improvised feature selection for Parkinson’s disease classification
2025 · Baijnath Kaushik, Reya Sharma, et al. · Multimedia Tools and Applications
A Novel Dual Feature Extraction using Fine-Tuned ResNet with GWO and Deep Dense Neural Network for Multiple Lung Disease Classification
2024 · Baijnath Kauhsik, yusera farooq khan, et al. · Research Square
An Ensemble Approach for Multiclass Skin Lesion Classification from Dermoscopic Images
2024 · Niharika Gupta, Baijnath Kaushik, et al. · Algorithms for intelligent systems
A Novel Dual Feature Extraction using Fine-Tuned ResNet with GWO and Deep Dense Neural Network for Multiple Lung Disease Classification
2024 · Baijnath Kauhsik, yusera farooq khan, et al. · Research Square
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Works count: 19
Citation count: 236
H-index: 9
I10-index: 9
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