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Titlebook: Synbiotics for the Management of Cancer; Neeraj Mishra,Shvetank Bhatt,Kamal Dua Book 2023 The Editor(s) (if applicable) and The Author(s),

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31#
發(fā)表于 2025-3-26 23:33:56 | 只看該作者
32#
發(fā)表于 2025-3-27 05:08:08 | 只看該作者
Sumel Ashique,Ashish Garg,Shvetank Bhatt,Ekta Sirohi,Neda Fatima,Neha Bajwa,Kamal Dua,Neeraj Mishraworking (SDN) allows a flexible, dynamic and adaptable management by optimizing network resources in the proposed framework. In an IoT environment, we develop a testbed platform, which allows us to evaluate the orchestration of an implemented distributed SDN controllers in order to achieve scalabili
33#
發(fā)表于 2025-3-27 09:04:20 | 只看該作者
Nitin Verma,Komal Thapa,Gagandeep Kaur,Kamal Dualarge amount of data. In the training phase of the total variability matrix T a better performance was obtained when a larger number of audios were used. And finally, balancing classes on each language to train the MLR classifiers allowed us to get a better performance only in certain languages. Usi
34#
發(fā)表于 2025-3-27 13:21:22 | 只看該作者
35#
發(fā)表于 2025-3-27 13:46:57 | 只看該作者
Diwahar Prakash,Suresh Krishna Venkataramanan,Gayathri Gopal,Shibi Muralidar,Senthil Visaga Ambikewise the software was improved with the recommendations of the participants, some students from the therapeutic center tried the application, they did so initially accompanied by their caregivers and progressively they achieved individual use of the system, Hope was assessed by 5 children with ASD
36#
發(fā)表于 2025-3-27 19:26:01 | 只看該作者
Arghya Kusum Dharvariables age, daily physical activity time, and computer use time directly influence the cognitive performance of the game users’. Finally, four-player profiles were discovered: 1) High Cognitive Performance, 2) Average Cognitive Performance, 3) Low Cognitive Performance I, and 4) Low Cognitive Per
37#
發(fā)表于 2025-3-28 00:25:07 | 只看該作者
38#
發(fā)表于 2025-3-28 03:50:35 | 只看該作者
39#
發(fā)表于 2025-3-28 06:41:38 | 只看該作者
Jitendra Kumar,Shilpa Verma,Farhan Mazahir,Awesh K. Yadavred detecting people in the corresponding RGB images, through the application of a pre-trained saliency algorithm. To estimate the orientation of the detected person, a modified Biternion network was trained with the resized images from the same proprietary database. At evaluating the system, depth
40#
發(fā)表于 2025-3-28 13:35:19 | 只看該作者
Dithu Thekkekkara,S. N. Manjula,Neeraj Mishra,Shvetank Bhatt,Satish Shilpior networks, a mechanism which intuitively proves that all the communicating nodes are trusted ones is required. In order to achieve sensor authentication, in this paper a technological approach where accelerometer data gathered from sensors are used to distinguish whether or not the devices are car
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