Results 91 to 100 of about 20,582 (244)

Research on Inconsistency Evaluation of Retired Battery Systems in Real-World Vehicles

Batteries
Inconsistency is a key factor triggering safety problems in battery packs. The inconsistency evaluation of retired batteries is of great significance to ensure the safe and stable operation of batteries during subsequent gradual use. This paper summaries
Jiegang Wang, Kerui Li, Chi Zhang, Zhenpo Wang, Yangjie Zhou, Peng Liu   +5 more
doaj   +1 more source

Anomaly Detection for Raw Water Quality – A Comparative Analysis of the Local Outlier Factor Algorithm and the Random Forest Algorithms

International Journal of Computer Applications, 2021
Henry Kiragu, Ciira wa Maina, Nahshon Mokua   +2 more
openaire   +1 more source

A Hybrid Group Method of Data Handling–Modified Particle Swarm Optimization Algorithm‐Local Outlier Factor for Short‐Term Load Forecasting in Microgrids

IET Renewable Power Generation
ABSTRACT Precision tools are required because load forecasting is essential for power system planning and optimal performance. Data machine learning techniques and data mining methods are essential instruments for evaluating data and uncovering concealed information in data.
Houman Gadari, Hamidreza Akbari, Somayeh Mousavi, Zohreh Beheshtipour   +3 more
openaire   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Developing Soft Interconnected Microchannel Network for 2D Skin‐Like Actuator

Advanced Science, EarlyView.
A soft interconnected network of microchannels is proposed to develop new pneumatic actuators for future bio‐inspired soft robots. Simultaneous stimulation of this network generates regional asymmetric strains in walls of microchannels whose interaction across the entire surface leads to bending curvatures in multidimensions.
John Noee, Mohammad Akbari, Josephine Perto Justsen, Ulrich Doll, Rassoul Tabassian   +4 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

A Fine-Scale and Highly Reliable Ground and Canopy Top Extraction Method Using ICESat-2 Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The ice, cloud, and land elevation satellite-2 (ICESat-2) is equipped with an advanced topographic laser altimeter system (ATLAS) that obtains small spots and high-density photon data.
Jingxin Chang, Yonghua Jiang, Zhiyong Lin, Meilin Tan   +3 more
doaj   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

A Novel Approach Utilizing Bagging, Histogram Gradient Boosting, and Advanced Feature Selection for Predicting the Onset of Cardiovascular Diseases

Mathematics
Cardiovascular diseases (CVDs) rank among the leading global causes of mortality, underscoring the necessity for early detection and effective management.
Norma Latif Fitriyani, Muhammad Syafrudin, Nur Chamidah, Marisa Rifada, Hendri Susilo, Dursun Aydin, Syifa Latif Qolbiyani, Seung Won Lee   +7 more
doaj   +1 more source

RNA Promotes Synapsin Condensates That Organize Synaptic Vesicles in Live Neurons and Enable Localized Translation in Reconstituted System

Advanced Science, EarlyView.
Condensates at synapses organize synaptic vesicles (SVs) and are crucial for efficient neurotransmitter release, yet how RNA contributes to this mesoscale architecture remains poorly understood. Here we uncover that RNA modulates synapsin–driven condensates.
Branislava Rankovic, Zachary M. Geisterfer, Akshita Chhabra, Vladimir M. Jovanovic, Ian Seim, Christian Hoffmann, Antonela Condric, Gerard Aguilar Pérez, Rinse de Boer, Lars T. Hofstede, Jingao Sun, Kiara Freitag, Katja Nowick, Marina Jendrach, Frank L. Heppner, Vladimir Despic, Michaela Müller‐McNicoll, Stephan Sigrist, Geert van den Bogaart, Sofiia Reshetniak, Amy S. Gladfelter, Dragomir Milovanovic   +21 more
wiley   +1 more source