Segmentation and Characterization of Brain Tumor from MR Images. - Laxman Singh; R. B. Dubey; Zainul Abdin Jaffery; Zaheeruddin (ARTCom, 2009)

Computerised segmentation of suspicious lesions in the digital mammograms. - Zainul Abdin Jaffery; Zaheeruddin; Laxman Singh (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

Diabetic Retinopathy Detection using Deep Learning. - Quang H. Nguyen 001; Ramasamy Muthuraman; Laxman Singh; Gopa Sen; Anh Cuong Tran; Binh P. Nguyen; Matthew Chin Heng Chua (ICMLSC, 2020)

Path planning for the autonomous robots using modified grey wolf optimization approach. - Rajeev Kumar; Laxman Singh; Rajdev Tiwari (J. Intell. Fuzzy Syst., 2021)

Secure blockchain enabled Cyber- Physical health systems using ensemble convolution neural network classification. - M. Ramanan; Laxman Singh; A. Suresh Kumar; A. Suresh; Sampathkumar Arumugam; Vishal Jain; Nebojsa Bacanin (Comput. Electr. Eng., 2022)

Multi-modal cyber security based object detection by classification using deep learning and background suppression techniques. - Kalyanapu Srinivas; Laxman Singh; Subba Reddy Chavva; Bhasker Dappuri; Saravanan Chandrasekaran; Shamimul Qamar (Comput. Electr. Eng., 2022)

Wormhole attack detection techniques in ad-hoc network: A systematic review. - Chitvan Gupta; Laxman Singh; Rajdev Tiwari (Open Comput. Sci., 2022)

Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model. - J. Dafni Rose; K. Vijayakumar 002; Laxman Singh; Sudhir Kumar Sharma (Concurr. Eng. Res. Appl., 2022)

Optimization of Hopfield Neural Network for Improved Pattern Recall and Storage Using Lyapunov Energy Function and Hamming Distance: MC-HNN. - Jay Kant Pratap Singh Yadav; Zainul Abdin Jaffery; Laxman Singh (Int. J. Fuzzy Syst. Appl., 2022)

Deep Learning-Based Tomato's Ripe and Unripe Classification System. - Prasenjit Das 005; Jay Kant Pratap Singh Yadav; Laxman Singh (Int. J. Softw. Innov., 2022)

A Systematic Literature Review on Test Case Prioritization Techniques. - Harendra Singh; Laxman Singh; Shailesh Tiwari (Int. J. Softw. Innov., 2022)

A Novel Design of High-Performance Hybrid Multiplier. - Jugal Kishore Bhandari; Yogesh Kumar Verma; Laxman Singh; Santosh Kumar Gupta (J. Circuits Syst. Comput., 2022)

Distance-based confidence generation and aggregation of classifier for unstructured road detection. - Altaf Alam; Laxman Singh; Zainul Abdin Jaffery; Yogesh Kumar Verma; Manoj Diwakar (J. King Saud Univ. Comput. Inf. Sci., 2022)

Computer-Aided Diagnosis for Breast Cancer Classification Using Deep Learning. - Rishu; Laxman Singh; Pavan Kumar Shukla; Kanika Jindal (IC3I, 2023)

Convolution Neural Network based efficient Segmentation and Classification Model for Disease Classification in Plant Images. - Deepkiran Munjal; Mrinal Pandey; Laxman Singh (ICIMMI, 2023)

A Systematic Review on the Detection and Classification of Plant Diseases Using Machine Learning. - Deepkiran Munjal; Laxman Singh; Mrinal Pandey; Sachin Lakra (Int. J. Softw. Innov., 2023)

Prediction of Customer Review's Helpfulness Based on Feature Engineering Driven Deep Learning Model. - Surya Prakash Sharma; Laxman Singh; Rajdev Tiwari (Int. J. Softw. Innov., 2023)

Integrated feature engineering based deep learning model for predicting customer's review helpfulness. - Surya Prakash Sharma; Laxman Singh; Rajdev Tiwari (J. Intell. Fuzzy Syst., 2023)

An efficient reversible data hiding using SVD over a novel weighted iterative anisotropic total variation based denoised medical images. - Manoj Diwakar; Pardeep Kumar 002; Prabhishek Singh; Amrendra Tripathi; Laxman Singh (Biomed. Signal Process. Control., 2023)

Malicious Node Detection in Vehicular Ad-hoc Network (VANET) using Enhanced Beacon Trust Management with Clustering Protocol (EBTM-CP). - Chitvan Gupta; Laxman Singh; Rajdev Tiwari (Wirel. Pers. Commun., 2023)

Novel Reinforcement Learning Guided Enhanced Variable Weight Grey Wolf Optimization (RLV-GWO) Algorithm for Multi-UAV Path Planning. - Rajeev Kumar; Laxman Singh; Rajdev Tiwari (Wirel. Pers. Commun., 2023)

Machine learning-driven pedestrian detection and classification for electric vehicles: integrating Bayesian component network analysis and reinforcement region-based convolutional neural networks. - A. Devipriya; D. Prabakar; Laxman Singh; A. Sheryl Oliver; Shamimul Qamar; Abdul Azeem (Signal Image Video Process., 2023)

Design of an Efficient Integrated Feature Engineering based Deep Learning Model Using CNN for Customer's Review Helpfulness Prediction. - Surya Prakash Sharma; Laxman Singh; Rajdev Tiwari (Wirel. Pers. Commun., 2023)

A novel scheme of classification for non-functional requirements using CNN with LSTM and GRU new hidden layer. - Devendra Kumar; Anil Kumar; Laxman Singh (Int. J. Grid Util. Comput., 2024)

An efficient hybrid methodology for an early detection of breast cancer in digital mammograms. - Laxman Singh; Altaf Alam (J. Ambient Intell. Humaniz. Comput., 2024)

An advanced approach for DNA sequencing and similarities analysis on the basis of groupings of nucleotide bases. - Kshatrapal Singh; Laxman Singh; Vijay Shukla; Yogesh Kumar Sharma; Arun Kumar Rai (Int. J. Data Min. Bioinform., 2025)

An experimental analysis of traditional machine learning techniques for classification of non-functional requirements. - Devendra Kumar; Laxman Singh; Anil Kumar (Int. J. Grid Util. Comput., 2025)

Advancing lung cancer diagnosis with bio-inspired algorithms: a comprehensive assessment. - Jyoti Kumari; Sapna Sinha; Laxman Singh (Multim. Tools Appl., 2025)

PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition. - Laxman Singh; Ashish Kumar 009; Richa Golash (Evol. Syst., 2025)