Correction: In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective. [PDF]
Tang H, Yu N, Min P, Guo R, Zhang G.
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Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
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Improving airport security with IoT-powered deep learning methods for threat detection and intelligent recommendation systems. [PDF]
Basem M, Zaki J, Saraya MS, Talaat FM.
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The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Multimodal Sensor Fusion for Non-Destructive Tea Quality Evaluation: Deep Learning-Enabled Methods, Applications, and Challenges. [PDF]
Hu X, Zhang M, Yang B, Tao Y, Wei W.
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A Multimodal UAV-IoT Sensing Framework for Intelligent Pest Density Estimation in Smart Agricultural Systems. [PDF]
Zhang Y +6 more
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A Spatiotemporally Coupled Carbon Flux Monitoring System for Salt Marsh Wetlands Based on Integrated Land-Air Collaborative Intelligence. [PDF]
Zha Y, Wang Z, Shi J.
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Advanced Sensors for Intelligent Robotic Systems: Vision, Touch, and Dexterous Manipulation. [PDF]
Wu Y, Wang X, Shen Y, Xia C.
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Massively parallel in-sensor skinomorphic computing. [PDF]
Li Y +12 more
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