Items where Author is "Yogeshwari, M."
Padmini, A. and Yogeshwari, M. (2024) A Survey on Exploring the Relationship Between Music and Mental Health Using Machine Learning Analysis:. In: Cross-Industry AI Applications. IGI, pp. 304-318.
Suganthi, V. and Yogeshwari, M. (2024) Real-Time Facial Emotion Analysis for Adaptive Teaching Strategies Using Deep Learning:. In: Explainable AI Applications for Human Behavior Analysis. IGI, pp. 142-156.
Praveena, A. and Yogeshwari, M. (2024) A Review of Prediction on Alzheimer's Disease Using Machine Learning Techniques:. In: Advancements in Clinical Medicine. IGI, pp. 366-378.
Yogeshwari, M. and Prasanth, A. (2024) Open Research Challenges in Wireless Technologies Case Study: Roles, Responsibilities, and Impact of IoT, 6G, and Blockchain Practices. In: Wireless Communication Technologies. CRC Press, Boca Raton, pp. 301-317. ISBN 9781003389231
Sujarani, Pulla and Yogeshwari, M. (2024) A Novel Image Filtering and Enhancement Techniques for Detection of Cancer Blood Disorder. In: Communications in Computer and Information Science. Springer, pp. 140-153.
Yogeshwari, M. and Sathya, S. and Radhakrishnan, Sangeetha and Padmini, A. and Megala, M. (2024) A Novel Method for Efficient Resource Management in Cloud Environment Using Improved Ant Colony Optimization. In: Advancements in Smart Computing and Information Security. Springer, pp. 450-461.
Sujarani, Pulla and Yogeshwari, M. and Kalaiselvi, K. (2023) Early Identification of Cancer Blood Disorder Using Deep Convolutional Neural Networks. In: ICIMMI 2023: International Conference on Information Management & Machine Intelligence, 23 11 2023 25 11 2023, Jaipur India.
Sujarani, Pulla and Yogeshwari, M. (2023) Comparative Study of Cancer Blood Disorder Detection Using Convolutional Neural Networks:. In: Comparative Study of Cancer Blood Disorder Detection Using Convolutional Neural Networks:. Springer, pp. 119-137.
Yogeshwari, M. and Thailambal, G. (2023) Automatic feature extraction and detection of plant leaf disease using GLCM features and convolutional neural networks. Materials Today: Proceedings, 81. pp. 530-536. ISSN 22147853
Sujarani, Pulla and Yogeshwari, M. (2023) Utilising deep convolutional neural networks and hybrid clustering techniques for predicting cancer blood disorders. International Journal of Bioinformatics Research and Applications, 19 (5/6). pp. 462-486. ISSN 1744-5485