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Titlebook: Proceedings of the Second Congress on Control, Robotics, and Mechatronics; CRM 2024, Volume 2 Pradeep Kumar Jha,Prashant Jamwal,Harish Shar

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21#
發(fā)表于 2025-3-25 05:52:20 | 只看該作者
FPGA Implementation of Vector Reduction Algorithm for LFSR,e devised a bit-swapping linear feedback shift register (BS-LFSR). The BS-LFSR reorders the test vectors by swapping out a bit for its next closest neighbor bit. The vectors’ fault coverage capability is maintained, but the total Hamming distance (THD) is lowered to lower power consumption during the shifting operation.
22#
發(fā)表于 2025-3-25 09:43:44 | 只看該作者
DDCF: Enhancing Educational Resource Recommendation in E-Learning Platforms Using Collaborating Filter Approach,ical interactions within an e-learning platform. This system aims to enhance the learning experience by providing personalized and relevant content to individual users. However, lacking feedback can make improving and fine-tuning the challenging recommendation algorithms difficult. Additionally, ina
23#
發(fā)表于 2025-3-25 11:39:47 | 只看該作者
A Survey of Proximity and Range Sensing Technologies for Reliable Distance Estimation,hese sensor types operates on distinct principles, offering unique advantages and applications that are invaluable across industries. Radar sensors provide exceptional precision by utilizing radio waves to detect objects’ distances and velocities, making them indispensable for applications like auto
24#
發(fā)表于 2025-3-25 16:24:22 | 只看該作者
25#
發(fā)表于 2025-3-25 23:16:50 | 只看該作者
Predictive Model for Energy Absorption Capacity of Geopolymer Concrete,le construction materials. One of the key properties of GPC is its energy absorption capacity, which denotes the energy absorbed by the material just before failure. However, a standardized method for estimating the energy absorption capacity (EAC) of GPC is lacking, leading most studies to rely on
26#
發(fā)表于 2025-3-26 03:41:50 | 只看該作者
27#
發(fā)表于 2025-3-26 07:28:24 | 只看該作者
28#
發(fā)表于 2025-3-26 11:08:14 | 只看該作者
29#
發(fā)表于 2025-3-26 15:12:34 | 只看該作者
Deep Learning-Based Facial Expression Recognition System for Age, Gender, and Emotions,irms support HCI because it enables them to benefit from infrastructure and technology that is available on demand for information-centric applications without requiring the usage of public clouds. Facial expression recognition and software-based facial expression recognition systems are essential d
30#
發(fā)表于 2025-3-26 17:19:18 | 只看該作者
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