Generative AI, a segment of artificial intelligence, is well on its course to the disruptive technologythat is capable of generating data that is similar to any real-world patterns. this study looks at some of the ke...
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People usually listen to music according to their moods and emotions. Withthe rapid growth of digital music libraries manual selection of a song or a list of songs is cumbersome. Music or song classification and reco...
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this study investigates the use of Machine Learning (ML) models for Chronic Kidney Disease (CKD) prediction, comparing Logistic Regression with L1 and L2 regularization, Random Forest , and a Hybrid Voting Classifier....
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Breast cancer (BC) is the second most common and deadly type of cancer in women, after skin cancer. the likelihood of a patient surviving breast cancer is greatly increased by early detection and classification. the a...
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this work aims to employ machine learning methods and visualization techniques for evaluating water quality by measuring its potability, a numerical indicator of water quality. the work utilizes water quality paramete...
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In this experiment, EEG-fNIRS simultaneous acquisition technology was used to design and implement a brain-computer interface paradigm for musical imagery, and the self-designed experimental paradigm was utilized for ...
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the proceedings contain 105 papers. the topics discussed include: classification of ovarian cancer with multimodal data using AI technology – a review;design of transcutaneous electrical nerve stimulator machine for ...
ISBN:
(纸本)9798331528539
the proceedings contain 105 papers. the topics discussed include: classification of ovarian cancer with multimodal data using AI technology – a review;design of transcutaneous electrical nerve stimulator machine for chronic low back pain;BioSegNet: pioneering convolutional approaches in medical imaging;sentiment analysis using natural language processing, machine learning and deep learning;automated extraction from aerospace engineering diagrams using computer vision techniques;optimizing IoT congestion control through priority based rate limiting technique to prevent flooding attacks;area and power optimized RTL to GDS II flow of a telecommunication receiver core;TumorInsight: GAN-augmented deep learning for precise brain tumor detection;and performance analysis of various deep learning models in lung cancer detection and classification using medical images.
Aiming at the constraints of manual assembly operation in narrow space, a multi-objective attitude optimization model is constructed by combining the balance, reachability, collision detection and other factors of hum...
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the growing influence of technology has transformed the medical industry. Technological developments in cardiovascular diagnostics and auscultation have revolutionized the field of heart health assessment. Traditional...
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Panorama stitching of low-altitude captured images is a very interesting and challenging task. Since 3D scenes are not planar, there may be significant changes in the relative positions of scene structures in each per...
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