Titlebook: Computing and Machine Learning; Proceedings of CML 2 Jagdish Chand Bansal,Samarjeet Borah,Said Salhi Conference proceedings 2024 The Editor

proptosis

書目名稱Computing and Machine Learning影響因子(影響力)




書目名稱Computing and Machine Learning影響因子(影響力)學(xué)科排名




書目名稱Computing and Machine Learning網(wǎng)絡(luò)公開度




書目名稱Computing and Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computing and Machine Learning被引頻次




書目名稱Computing and Machine Learning被引頻次學(xué)科排名




書目名稱Computing and Machine Learning年度引用




書目名稱Computing and Machine Learning年度引用學(xué)科排名




書目名稱Computing and Machine Learning讀者反饋




書目名稱Computing and Machine Learning讀者反饋學(xué)科排名

PANG

擁護(hù)

花爭吵

GILD

Optimizing the U-Net Model for Segmenting the Lung Opacity Regions in Chest Radiographs,and appropriate treatment. To ensure continuous neuron activity during the training process, the ReLU activation in the U-Net model is replaced with the Leaky ReLU activation. The optimized U-Net model is trained and validated using 90 labeled lung opacity chest radiographs. U-Net‘s adaptability to

氣候

Intelligent Surveillance Camera System Based on Object Tracking,del is used to implement and develop the proposed system. This model is one of the most advanced human object detection models and has very high accuracy with an mAP50 value of 0.878. Besides, the Deep SORT model is used for object tracking. Then, the system checks whether the detected object is in

氣候

字形刻痕

heart-murmur

Enhancing Efficiency and Functionality of Voice-Controlled Cars Through NLP Techniques and Additionnd obstacle recognition using an ultrasonic sensor to increase its usefulness in real-world scenarios. Performance study uses Python and data visualization tools to visualize the relationship between execution time and the number of instructions, which offers valuable insights for future voice-contr

macrophage