Results 181 to 190 of about 5,451,620 (296)

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

Structural and dynamical strategies to prevent runaway excitation in reservoir computing. [PDF]

Front Comput Neurosci
Metzner C, Schilling A, Maier A, Kinfe T, Krauss P.   +4 more
europepmc   +1 more source

Blind Source Separation via Time‐Frequency Localization on Sound Spectrogram for Environmental Sound Source Attribution

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As urban sound environments grow more complex, environmental monitoring increasingly demands not just sound‐level measurement but also source attribution. Current source recognition techniques can identify which sources are present in a mixture, but cannot measure each source's energy contribution, making accountability impossible.
Rui Hu, Zhihao Wu, Yuxin Lin, Yong Xu
wiley   +1 more source

AI-Driven Security: Detecting Cyber Attacks in IoT Networks. [PDF]

Sensors (Basel)
Awan JH, Safdar M, Shirazi MA, Kim MY.
europepmc   +1 more source

Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications

High Voltage, EarlyView.
ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran, Yi Wang, Changheng Li, Jingyu Deng, Jian Wang, Haochen Zuo, Chen Zhao, Qian Wang, Yi Li, Song Xiao, Zhengyong Huang, Chao Wu, Zhonghui Shen, Kunming Shi, Fei Liu, Jie Chen, Jian Li, Xingyi Huang   +17 more
wiley   +1 more source

Inferring brain-wide interactions using data-constrained recurrent neural network models. [PDF]

Neuron
Perich MG, Arlt C, Soares S, Zhou S, Beiran M, Andalman AS, Benster T, Young ME, Mosher CP, Minxha J, Carter E, Rutishauser U, Rudebeck PH, Harvey CD, Deisseroth K, Rajan K.   +15 more
europepmc   +1 more source

State‐of‐the‐Art Artificial Intelligence for Condition Perception of Power Equipment: Applications and Trends

High Voltage, EarlyView.
ABSTRACT With the advancement of the ‘carbon peaking and carbon neutrality’ targets and the construction of new power systems, the operating environment of power equipment is becoming increasingly complex, rendering traditional operation and maintenance strategies insufficient to meet the demands of safe and stable grid operation.
Hui Song, Gehao Sheng, Zonglin Wang, Yuxiao Zhang, Lingen Luo, Xiuchen Jiang   +5 more
wiley   +1 more source

Protocol for analyzing slow cortical dynamics in mouse neuronal recordings. [PDF]

STAR Protoc
Shymkiv Y, Yuste R.
europepmc   +1 more source

Measuring Public Sentiment on Corporate Sustainability Through Big Data and Social Media Analytics

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Currently, corporate sustainability is primarily assessed through companies' own sustainability reports and evaluations conducted by NGOs and rating agencies. These approaches present several limitations, including potential reporting bias and limited transparency in evaluation methodologies. In response, this paper proposes CSR‐IRIS‐v2, a big
Adriana M. Barbeito‐Caamaño, Ricardo Chalmeta   +1 more
wiley   +1 more source

Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning-Based Two-Compartment Predictive Model: Development and Validation Study. [PDF]

JMIR AI
Mao B, Xie Z, Rasmy L, Nigo M, Zhi D.
europepmc   +1 more source