Summary of Leveraging Lstm For Predictive Modeling Of Satellite Clock Bias, by Ahan Bhatt et al.
Leveraging LSTM for Predictive Modeling of Satellite Clock Biasby Ahan Bhatt, Ishaan Mehta, Pravin PatidarFirst…
Summary of Sentiment Analysis Of Cyberbullying Data in Social Media, by Arvapalli Sai Susmitha et al.
Sentiment Analysis of Cyberbullying Data in Social Mediaby Arvapalli Sai Susmitha, Pradeep PujariFirst submitted to…
Summary of Video Rwkv:video Action Recognition Based Rwkv, by Zhuowen Yin et al.
Video RWKV:Video Action Recognition Based RWKVby Zhuowen Yin, Chengru Li, Xingbo DongFirst submitted to arxiv…
Summary of Deep Heuristic Learning For Real-time Urban Pathfinding, by Mohamed Hussein Abo El-ela and Ali Hamdi Fergany
Deep Heuristic Learning for Real-Time Urban Pathfindingby Mohamed Hussein Abo El-Ela, Ali Hamdi FerganyFirst submitted…
Summary of Continuous Sign Language Recognition System Using Deep Learning with Mediapipe Holistic, by Sharvani Srivastava et al.
Continuous Sign Language Recognition System using Deep Learning with MediaPipe Holisticby Sharvani Srivastava, Sudhakar Singh,…
Summary of Geometry Of Naturalistic Object Representations in Recurrent Neural Network Models Of Working Memory, by Xiaoxuan Lei et al.
Geometry of naturalistic object representations in recurrent neural network models of working memoryby Xiaoxuan Lei,…
Summary of Carbon Price Fluctuation Prediction Using Blockchain Information a New Hybrid Machine Learning Approach, by H. Wang et al.
Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approachby H. Wang,…
Summary of An Innovative Cgl-mha Model For Sarcasm Sentiment Recognition Using the Mindspore Framework, by Zhenkai Qin and Qining Luo and Xunyi Nong
An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Frameworkby Zhenkai Qin, Qining…
Summary of Improving Traffic Flow Predictions with Sgcn-lstm: a Hybrid Model For Spatial and Temporal Dependencies, by Alexandru T. Cismaru
Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependenciesby Alexandru…
Summary of Development and Comparative Analysis Of Machine Learning Models For Hypoxemia Severity Triage in Cbrne Emergency Scenarios Using Physiological and Demographic Data From Medical-grade Devices, by Santino Nanini et al.
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency…