Results 241 to 250 of about 90,690 (297)

Research on a Temperature and Humidity Prediction Model for Greenhouse Tomato Based on iT-LSTM-CA

Yanan Gao, Pengyu Liu, Yuxuan Zhang, Fengyu Li, Ke Zhu, Yan Zhang, Shiwei Xu   +6 more
openalex   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, EarlyView.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source

Attention-Augmented LSTM Feed-Forward Compensation for Lever-Arm-Induced Velocity Errors in Transfer Alignment. [PDF]

Biomimetics (Basel)
Pan S, Yan G, Sun D, Liang B, Feng L.
europepmc   +1 more source

Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives

Small, EarlyView.
This review explores machine learning techniques to predict and mitigate thermal runaway in lithium‐ion batteries. By analyzing failure mechanisms and safety issues, the study develops data‐driven models for early detection. It proposes safety enhancement strategies for battery design and maintenance, offering actionable insights to prevent ...
Oumayma ELJarray, Hongliu Dai, Zhangsen Chen, Subhiksha Venkatesh Raja, Bojia Li, Siyi Cao, Shuhui Sun, Gaixia Zhang   +7 more
wiley   +1 more source

Real time urban traffic prediction using RFID and a hybrid LSTM random forest model. [PDF]

Sci Rep
Khattab O, Saravana Balaji B, Alghadhoori F, AlMazyad F, AlDousari M, Al-Ameeri A, Al-Kadri MO.   +6 more
europepmc   +1 more source

Optimizing fault prediction in software based on MnasNet/LSTM optimized by an improved lotus flower algorithm

Long Wang, Zhao Qixin, Michail A. Zakharov, Sangkeum Lee   +3 more
openalex   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model. [PDF]

Brain Sci
Cao W, Li Q, Zhang A, Wang T.
europepmc   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Design of a hybrid learning model for establishing consistency in smart grid environment. [PDF]

Sci Rep
Mahendran S, Gomathy B.
europepmc   +1 more source