This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş+4 more
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From motion to meaning: understanding students' seating preferences in libraries through PIR-enabled machine learning and explainable AI. [PDF]
Izmir Tunahan G+2 more
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Observation and detection of neurotransmitter dynamics in aqueous system has been hurdle for analytical fields due to its weak and reversible nature. A terahertz‐nanodisc metasurface which implements comprehensive detection over conformational change and selective sensing is introduced. Utilizing the THz regime photonics and biomimetic environment with
Taeyeon Kim+6 more
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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks. [PDF]
Zeng K, Li Z, Wang X.
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Self‐Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications
This study presents a novel design of a neuromorphic pressure sensor that can generate self‐spiking symmetric signals with direct event‐based encoding through the integration of magnetic spheres and alternating coil circuits. The key advantages of this work include high linearity up to 200 kPa (R2 = 0.997), self‐spiking behavior for simplified signal ...
Jingyi Yang+17 more
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RETRACTION: Design of Sports Event Evaluation and Classification Method Based on Deep Neural Network. [PDF]
Neuroscience CIA.
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Chinese National Library Classification Number: TM933 Document Identification Code: A Electricity Metering Technology for Power Grid Terminals Considering Dual Carbon Clean Energy [PDF]
Xiaolong Cheng+5 more
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AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
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Automated Machine-Learning-Driven Analysis of Microplastics by TGA-FTIR for Enhanced Identification and Quantification. [PDF]
Prezgot D+4 more
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Fluoroether Design Enables High‐Voltage All‐Solid‐State Lithium Metal Batteries
A durable high‐voltage all‐solid‐state electrolyte is developed by incorporating a novel organic/inorganic hybrid porous component with a fluoroether design. Due to the weakened Li+ coordination structure, the proposed high‐voltage SSE exhibits durable antioxidation.
Yong Chen+11 more
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