Taft
发表于 2025-3-21 17:58:09
书目名称Intelligent Computing, Smart Communication and Network Technologies影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0476192<br><br> <br><br>书目名称Intelligent Computing, Smart Communication and Network Technologies读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0476192<br><br> <br><br>
irradicable
发表于 2025-3-21 23:38:37
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brother
发表于 2025-3-22 03:01:25
Melanoma Skin Cancer Classification Using Transfer Learning,need for early illness detection is therefore extremely important. There is a huge demand to create a system that can predict whether a person would get diseased or not, alternately, this system can prove to be of major help in hospitals and clinics.
Encephalitis
发表于 2025-3-22 06:14:24
Detecting Fake and Genuine Facebook Users Using Gradient Boosted Trees and Interpretable Machine Lensible. The proposed system aims to objectively and fairly identify fake Facebook accounts, reducing the risk of malicious activity and improving user experience. The proposed system should use explainable AI (XAI) to increase trust in technology and ensure user security by providing transparency and interpretability in decision-making.
从容
发表于 2025-3-22 12:06:47
Conference proceedings 2024e, sensing, hardware and software implementation, soft computing, optimization, intelligent control design, intelligent system integration and control applications, and other relevant research areas..
发电机
发表于 2025-3-22 13:56:47
1865-0929 ntelligence, sensing, hardware and software implementation, soft computing, optimization, intelligent control design, intelligent system integration and control applications, and other relevant research areas..978-3-031-75956-7978-3-031-75957-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
临时抱佛脚
发表于 2025-3-22 20:31:56
Application of Neural Nets as Computing Network in Augmenting Variables of Abrasive Machining in Poes the particle velocities and creates a whirling effect for the abrasive air mixture while cutting any material, the newly created internal threaded nozzle has been demonstrated to give greater possibilities for AJM processing. ANN was successfully used to determine the ideal machining parameters.
江湖郎中
发表于 2025-3-22 22:47:47
Design of Metaheuristically Supervised Linear ADRC for a Magnetic Levitation System Control, with a traditional PID controller based on their dynamic response and tracking performance. The analysis showed that LADRC with cuckoo search algorithm had a better tracking performance and dynamic response.
Temporal-Lobe
发表于 2025-3-23 01:57:39
Heart Disease Prediction Using Machine Learning Techniques,en patterns and medical factors associated to heart disease. The training approach we used was a by different algorithms in machine learning like Random Forest, KNN, Support Vector Machine, Logistic Regression Decision Tree. The outcomes show that the developed diagnostic system can accurately identify the risk level of cardiac illnesses.
artless
发表于 2025-3-23 06:48:48
Real Time Sign Language Recognition Using Custom Convolutional Neural Network and YOLOv5,as chosen to create a complete pipeline from sign language to speech. The Custom CNN model’s output is input to the silero’s Text-to-Speech pre-trained model, which gives the speech version as output.