Spring 发表于 2025-3-21 16:30:46
书目名称Artificial Intelligence of Things影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162528<br><br> <br><br>书目名称Artificial Intelligence of Things读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162528<br><br> <br><br>运气 发表于 2025-3-21 22:06:07
Antenna Array Fault Detection Using Logistic Regression Technique a high gain of 12 dB and S. of −32 dB for 3.67 GHz frequency. Before applying a logistic regression machine learning algorithm for fault detection in an antenna array, a review of various techniques applied by researchers is carried out. The logistic regression multiclass model with a liblinear sol剥削 发表于 2025-3-22 03:57:14
Automatic Door Unlocking System Using Facemask Detection and Thermal Screeninge body temperature without making physical contact. The door is opened if the temperature is below the threshold, or 40 degrees Celsius, and someone is wearing a mask; otherwise, the door must be locked to stop the buzzer from going off.SLAG 发表于 2025-3-22 05:24:44
Deep Learning Based Face Recognition System for Automated Identification aligned and normalized to account for variations in pose, scale, and illumination. Next, a deep CNN-based feature extraction network is utilized to capture high-level representations from the aligned face regions. This network learns hierarchical features that are robust to variations in facial appCanyon 发表于 2025-3-22 11:31:11
Desirability Function Analysis Based Optimization of the On-Machine Diameter Measurement Using Machialue of ±0.2014% while blue light shows the highest percentage error in diameter measurement as ±0.6320%. However, the green light measurement method has a moderate percentage error in diameter measurement with a percentage error of ±0.5528%.使虚弱 发表于 2025-3-22 13:07:54
http://reply.papertrans.cn/17/1626/162528/162528_6.png浸软 发表于 2025-3-22 17:30:02
An Enhanced PSO-Based Energy Efficient Clustering Routing Algorithm for Wireless Sensor Networkluster the network and choose the appropriate cluster heads. The Modified PSO-based Energy-Efficient Clustering Routing Protocol (PSO-EECRP) of a network is an essential criterion for extending the network’s life span. Numerous factors are taken into account for the proposed approach’s energy efficimedium 发表于 2025-3-23 00:26:17
Predictive Load Management Using IoT and Data Analyticsd promotes sustainability. Furthermore, the system takes into account the day-ahead hourly price-based tariff rate, ensuring that energy consumption is cost-effective. This is achieved with a prototype Predictive Load Management Device (PLMD). To relay information to the users, the system includes aFormidable 发表于 2025-3-23 02:19:20
A BERT Classifier Approach for Evaluation of Fake News Disseminationives a thorough assessment of numerous fake news detection strategies employed by various other authors, databases they had engaged with, and the multiple analytical people were using to evaluate the effectiveness of their respective algorithms. This research analyses the troubles and challenges of巡回 发表于 2025-3-23 08:34:21
Emoji Based Sentiment Classification Using Machine Learning Approachextract features. Following to it, classifier deployment, training and assessment were carried out. Metrics for evaluation are used to gauge classifier accuracy. MultinomialNB (MNB) fared best in the field of Bag-of-words features among the three classifiers used to evaluate the accuracy, but Random