Optimization of logistic distribution centers process planning and scheduling. - Jan Karasek; Radim Burget; Václav Uher; Malay Kishore Dutta; Yogesh Kumar 002 (IC3, 2013)

Artificial Intelligence-based Learning Techniques for Diabetes Prediction: Challenges and Systematic Review. - Surabhi Kaul; Yogesh Kumar 002 (SN Comput. Sci., 2020)

AI-Based Learning Techniques for Sarcasm Detection of Social Media Tweets: State-of-the-Art Survey. - Yogesh Kumar 002; Nikita Goel (SN Comput. Sci., 2020)

A Novel Self-Organizing Approach to Automatic Traffic Light Management System for Road Traffic Network. - Amita Jain; Sudesh Yadav; Sonakshi Vij; Yogesh Kumar 002; Devendra Kumar Tayal (Wirel. Pers. Commun., 2020)

Study of automatic text summarization approaches in different languages. - Yogesh Kumar 002; Komalpreet Kaur; Sukhpreet Kaur (Artif. Intell. Rev., 2021)

An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm. - Shanky Goyal; Shashi Bhushan; Yogesh Kumar 002; Abu ul Hassan Sarwar Rana; Muhammad Raheel Bhutta; Muhammad Fazal Ijaz; Youngdoo Son (Sensors, 2021)

Study of AI Techniques in Quality Educations: Challenges and Recent Progress. - Aditya Verma; Yogesh Kumar 002; Rashi Kohli (SN Comput. Sci., 2021)

AutoSSR: an efficient approach for automatic spontaneous speech recognition model for the Punjabi Language. - Yogesh Kumar 002; Navdeep Singh; Munish Kumar 001; Amitoj Singh (Soft Comput., 2021)

A Modified Radix-16 CORDIC Algorithm-based Direct Digital Frequency Synthesizer. - Ankur Changela; Yogesh Kumar 002 (IC3I, 2022)

Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues. - Simranjit Kaur; Khushboo Bansal; Yogesh Kumar 002 (IC3I, 2022)

Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives. - Komalpreet Kaur; Charanjit Singh; Yogesh Kumar 002 (IC3I, 2022)

A Hybrid Deep Transfer Learning Approach For The Detection Of Vector-Borne Diseases. - Inderpreet Kaur; Amanpreet Kaur Sandhu; Yogesh Kumar 002 (IC3I, 2022)

ENDURA : Enhancing Durability of Multi Level Cell STT-RAM based Non Volatile Memory Last Level Caches. - Yogesh Kumar 002; S. Sivakumar; John Jose (VLSI-SoC, 2022)

Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System. - Sandipan Sahu; Raghvendra Kumar 002; Mohd Shafi Pathan; Jana Shafi; Yogesh Kumar 002; Muhammad Fazal Ijaz (IEEE Access, 2022)

Automatic vehicle detection system in different environment conditions using fast R-CNN. - Nitika Arora; Yogesh Kumar 002; Rashmi Karkra; Munish Kumar 001 (Multim. Tools Appl., 2022)

Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area. - Jigyasa Chadha; Aarti Jain; Yogesh Kumar 002 (Multim. Tools Appl., 2022)

Fruit quality evaluation using machine learning techniques: review, motivation and future perspectives. - Bhumica Dhiman; Yogesh Kumar 002; Munish Kumar 001 (Multim. Tools Appl., 2022)

Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review. - Surabhi Kaul; Yogesh Kumar 002; Uttam Ghosh; Waleed S. Alnumay (Multim. Tools Appl., 2022)

Cancer Prognosis Using Artificial Intelligence-Based Techniques. - Surbhi Gupta 002; Yogesh Kumar 002 (SN Comput. Sci., 2022)

Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer. - Khushboo Bansal; R. K. Bathla; Yogesh Kumar 002 (Soft Comput., 2022)

A novel deep transfer learning models for recognition of birds sounds in different environment. - Yogesh Kumar 002; Surbhi Gupta 002; Williamjeet Singh (Soft Comput., 2022)

A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent. - Yogesh Kumar 002; Apeksha Koul; Seema Mahajan (Soft Comput., 2022)

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey. - Yogesh Kumar 002; Surabhi Kaul; Yu-Chen Hu (Sustain. Comput. Informatics Syst., 2022)

Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study. - Yogesh Kumar 002; G. Prabhu Kanna; S. J. K. Jagadeesh Kumar; G. Sambasivam (IC3I, 2023)

Artificial Intelligence-Based Learning Approaches for Medical Imaging. - Yogesh Kumar 002; Shilpi Wadhwa; Jyoti Rani; Kussum (IC3I, 2023)

Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models. - Jagandeep Singh; Jasminder Kaur Sandhu; Yogesh Kumar 002 (IC3I, 2023)

DOMINER: Domain Feature Mining from Unstructured Data for Effective Text Summarization. - Hiren Kumar Thakkar; Priyanka Singh; Yogesh Kumar 002 (ICMLDE, 2023)

An automatic speech recognition system in Indian and foreign languages: A state-of-the-art review analysis. - Astha Gupta; Rakesh Kumar 009; Yogesh Kumar 002 (Intell. Decis. Technol., 2023)

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic. - Yogesh Kumar 002; Apeksha Koul; Sukhpreet Kaur; Yu-Chen Hu (SN Comput. Sci., 2023)

A deep learning approaches in text-to-speech system: a systematic review and recent research perspective. - Yogesh Kumar 002; Apeksha Koul; Chamkaur Singh (Multim. Tools Appl., 2023)

Satellite imagery-based Airbus ship localization and detection using deep learning-based approaches. - Jigyasa Chadha; Aarti Jain; Yogesh Kumar 002 (Peer Peer Netw. Appl., 2023)

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. - Yogesh Kumar 002; Apeksha Koul; Ruchi Singla; Muhammad Fazal Ijaz (J. Ambient Intell. Humaniz. Comput., 2023)

Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic review. - Nitika Arora; Yogesh Kumar 002 (Evol. Intell., 2023)

A New Angle Set-Based Absolute Scaling-free Reconfigurable Cordic Algorithm. - Ankur Changela; Mazad Zaveri; Yogesh Kumar 002 (Circuits Syst. Signal Process., 2023)

AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. - Pranav Nair; Vinay Vakharia; Milind Shah; Yogesh Kumar 002; Marcin Wozniak; Jana Shafi; Muhammad Fazal Ijaz (Int. J. Intell. Syst., 2024)

A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects. - Yogesh Kumar 002 (SN Comput. Sci., 2024)

Hybrid deep learning based automatic speech recognition model for recognizing non-Indian languages. - Astha Gupta; Rakesh Kumar 009; Yogesh Kumar 002 (Multim. Tools Appl., 2024)

Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning. - Jagandeep Singh; Jasminder Kaur Sandhu; Yogesh Kumar 002 (Serv. Oriented Comput. Appl., 2024)

Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction. - Sonam Gandotra; Yogesh Kumar 002; Nandini Modi; Jaeyoung Choi 001; Jana Shafi; Muhammad Fazal Ijaz (Artif. Intell. Rev., 2024)

An automated multi-classification of communicable diseases using ensemble learning for disease surveillance. - Kavita Thakur; Navneet Kaur Sandhu; Yogesh Kumar 002; Hiren Kumar Thakkar (Int. J. Syst. Assur. Eng. Manag., 2024)

Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence. - Apeksha Koul; Rajesh K. Bawa; Yogesh Kumar 002 (Multim. Tools Appl., 2024)

Hybrid Deep Learning Approaches for Human Activity Recognition and Postural Transitions Using Mobile Device Sensors. - Jigyasa Chadha; Aarti Jain; Yogesh Kumar 002; Nandini Modi (SN Comput. Sci., 2024)

Mental Disorders Prognosis and Predictions Using Artificial Intelligence Techniques: a Comprehensive Study. - Poonam Kaushik; Khushboo Bansal; Yogesh Kumar 002; Ankur Changela (SN Comput. Sci., 2024)

Design and development of Dogri extractive summarization model for automated summary generation. - Sonam Gandotra; Bhavna Arora; Yogesh Kumar 002 (Int. J. Digit. Libr., 2025)

Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques. - Yogesh Kumar 002; Priya Bhardwaj; Supriya Shrivastav; Kapil Mehta (Neuroinformatics, 2025)

Physiological signal-based mental stress detection using hybrid deep learning models. - Nandini Modi; Yogesh Kumar 002; Kapil Mehta; Neelam Chaplot (Discov. Artif. Intell., 2025)