Results 61 to 70 of about 142,887 (185)

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

H2CD: Semantic‐Enhanced Heterogeneous Hypergraph Network With Large Language Model for Cognitive Diagnosis

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Cognitive diagnosis aims to infer learners' knowledge states from their exercise responses, enabling personalised education at scale. Existing methods represent exercises solely by coarse‐grained knowledge component annotations, overlooking semantic content and step‐level cognitive processes.
Youheng Bai, Zitao Liu, Mingliang Hou, Teng Guo, Weiqi Luo   +4 more
wiley   +1 more source

Bacpipe: A Python package to make bioacoustic deep learning models accessible

Methods in Ecology and Evolution, EarlyView.
Abstract Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated the analysis of large portions of this data. While new models advance the state‐of‐the‐art, accessing them using tools to harness their full potential is not always ...
Vincent S. Kather, Sylvain Haupert, Burooj Ghani, Dan Stowell   +3 more
wiley   +1 more source

The law of AI knowledge distillation

American Business Law Journal, EarlyView.
Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley   +1 more source

Predictive Ability of Preoperative Multidomain Risk Stratification for Inpatient Outcomes in Older Patients With Acute Cholecystitis Undergoing Cholecystectomy (PRIOC): Retrospective Prognostic Study

ANZ Journal of Surgery, EarlyView.
The preoperative Multi‐Domain Risk Stratification model effectively stratified operative risk in older adults undergoing cholecystectomy for acute cholecystitis, predicting prolonged hospital stay, medical complications, and Medical Emergency Team calls, supporting its role in comprehensive preoperative risk assessment and perioperative decision‐making.
Kate Wylde, Leon Flicker, Sally Burrows, Dieter Weber, Nicholas Chatman, Krystyna Drewniak, Mayura Iddagoda   +6 more
wiley   +1 more source

DDoS Attacks Detection Approach based on Ensemble Model using Spark

Jordanian Journal of Computers and Information Technology
We live in an era when time is a precious resource. Thus, dealing with the vast amount of data collected from different resources for various purposes requires creating systems that can process the data in a reasonable time to make it worthwhile ...
Yasmeen Alslman, Ashwaq Khalil, Remah Younisse, Eman AlNagi, Jaafer Al-Saraireh, Rawan Ghnemat   +5 more
doaj   +1 more source

Honokiol regulates Acute respiratory distress syndrome (ARDS)‐associated pulmonary fibrosis via the miR‐19a‐3p/POSTN axis

British Journal of Pharmacology, EarlyView.
Abstract Background and Purpose Acute respiratory distress syndrome (ARDS) and subsequent pulmonary fibrosis are associated with high mortality and limited treatment options. Periostin (POSTN) is a profibrotic mediator predicted to be regulated by microRNA‐19a‐3p (miR‐19a‐3p), but the relevance of this axis in ARDS‐associated pulmonary fibrosis remains
Weilun Liu, Hsiaohsuan Wang, Hsuanfu Kuo, Chiahung Yen, Modasang Hua, Chiayuan Chang, Zhiwei Xu, Ifan Liu, Chongchao Hsieh, Chihhsin Hsu, Chiayang Li, Shuchi Wang, Yunghsiang Chen, Menghsuan Cheng, Polen Liu   +14 more
wiley   +1 more source

Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark [PDF]

The trend for listening to music online has greatly increased over the past decade due to the number of online musical tracks. The large music databases of music libraries that are provided by online music content distribution vendors make music ...
Chaudhury, M., Ghazanfar, Mustansar Ali, Karami, Amin   +2 more
core   +1 more source

TRACK-Plus: Optimizing Artificial Neural Networks for Hybrid Anomaly Detection in Data Streaming Systems

IEEE Access, 2020
Software applications can feature intrinsic variability in their execution time due to interference from other applications or software contention from other users, which may lead to unexpectedly long running times and anomalous performance.
Ahmad Alnafessah, Giuliano Casale
doaj   +1 more source

Evaluating Encodings for Bivariate Edges in Adjacency Matrices

Computer Graphics Forum, EarlyView.
Abstract We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real‐world networks, edges represent not a single value but a set of measurements. While adjacency matrices preserve structural clarity, their compact cells limit the simultaneous display of multiple
J. Acosta‐Hernández, A. Lex, T. He
wiley   +1 more source