| Biblio No. | Subject | Title | Author | Publisher | Image |
|---|---|---|---|---|---|
| 82317 | Computer science | Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques and Use Cases | L. Ashok Kumar; D. Karthika Renuka | Taylor and Francis | |
| 82318 | Computer science | DesignedUp: A designer’s guide on how to lead inside the tech industry | Emma Carter | Taylor and Francis | |
| 82319 | Computer science | Diagnosis of Neurological Disorders Based on Deep Learning Techniques: | Jyotismita Chaki | Taylor and Francis | |
| 82320 | Computer science | Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library | Vincent Barra; Christophe Tilmant; David Tschumperle | Taylor and Francis | |
| 82321 | Computer science | Digital Image Processing: | Shriram K Vasudevan; A Baskar; Muthaiah Rajappa; T S Murugesh | Taylor and Francis | |
| 82322 | Computer science | Edge-AI in Healthcare: Trends and Future Perspectives | Sonali Vyas; Akanksha Upadhyaya; Deepshikha Bhargava; Vinod Kumar Shukla | Taylor and Francis | |
| 82323 | Computer science | Edutech Enabled Teaching: Challenges and Opportunities | Manpreet Singh Manna; Kiran Sood; Balamurugan Balusamy; Naveen Chilamkurti; Ignisha Rajathi George | Taylor and Francis | |
| 82324 | Computer science | Emerging Trends in IoT and Computing Technologies: Proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies (ICEICT-2022), April 22-23, 2022, Lucknow, India | Suman Lata Tripathi; Devendra Agarwal; Satya Bhushan Verma; Smrity Dwivedi; Kolla Bhanu Prakash; Bipin kumar Singh | Taylor and Francis | |
| 82325 | Computer science | Energy Harvesting: Enabling IoT Transformations | Deepti Agarwal; Kimmi Verma; Shabana Urooj | Taylor and Francis | |
| 82326 | Computer science | Generative Adversarial Networks and Deep Learning: Theory and Applications | Roshani Raut; Pranav D Pathak; Sachin R Sakhare; Sonali Patil | Taylor and Francis |