Results 31 to 40 of about 1,533,628 (86)

Mechanisms of Indoor Environment Parameters on Physiological Cardiovascular Load and Subjective Comfort in the Elderly

Indoor Air, Volume 2026, Issue 1, 2026.
With the population aging rapidly, the impact of the indoor environment on the physiological health and satisfaction of the elderly is becoming increasingly important. Therefore, it is essential to study the instant relationship between the indoor environment, physiological responses, and subjective experience.
Yang Lv, Ziwei Yang, Yu Wang, Weihua Liu, Hui Hui, Qi Zhang, Hongwei Wang, Poulami Jha   +7 more
wiley   +1 more source

A Three‐Stage Causal Root‐Cause Diagnostic Protocol for Nonstationary Industrial Time Series Data

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Predictive maintenance (PdM) systems effectively forecast failures, but they often fail to find root causes, particularly when system dynamics change over time. This limitation arises from applying static causal models or decoupled segmentation to handle nonstationary industrial time series. For regime‐aware causal diagnostics and interventional effect
Cansu Yalim, Resit Unal, Holly A. H. Handley, Floriano Cuccureddu   +3 more
wiley   +1 more source

Acknowledgement to Reviewers of Algorithms in 2014

, 2015
The editors of Algorithms would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...
Algorithms Editorial Office
core   +1 more source

A Deep Learning Approach Using Optimized LSTM for Anomaly‐Based Network Intrusion Detection

Journal of Engineering, Volume 2026, Issue 1, 2026.
With the exponential rise in cyber threats, anomaly‐based network intrusion detection systems (NIDSs) have become critical for maintaining robust cybersecurity. This article proposes an optimized long short‐term memory (LSTM) deep learning (DL) model specifically designed to detect anomalies in network traffic.
Samia Dardouri, Shikha Binwal
wiley   +1 more source

Acknowledgement to Reviewers of Algorithms in 2015

, 2016
The editors of Algorithms would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2015.
Algorithms Editorial Office
core   +1 more source

Smart Grid Management Enhanced by Large Language Models: From Fault Detection to Real‐Time Optimization

Journal of Engineering, Volume 2026, Issue 1, 2026.
The rapid advancement in digitalization has led to significant innovations in smart grid systems, enhancing energy management, fault detection, and operational optimization. The integration of artificial intelligence (AI), particularly large language models (LLMs), plays a pivotal role in transforming smart grid functionalities. This study explores the
Wasim Ahmad, Tehseen Mazhar, Syed Faisal Abbas Shah, Wajahat Waheed, Khmaies Ouahada, Tariq Shahzad, Habib Hamam, Asad Ali Zaidi   +7 more
wiley   +1 more source

Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard Flora Classification [PDF]

The global population’s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks.
Alibabaei, Khadijeh, Corceiro, Ana, Pereira, Nuno José Matos, Gaspar, Pedro Dinis   +3 more
core   +1 more source

Progressive geometric algorithms [PDF]

, 2014
Progressive algorithms are algorithms that, on the way to computing a complete solution to the problem at hand, output intermediate solutions that approximate the complete solution increasingly well.
Alewijnse, SPA Sander, Buchin, KA Kevin, Alex P. ten Brink, Bagautdinov, T.M., Bouts, Q.W., de Berg, M.T., Buchin, K.A., M. de Berg, Bagautdinov, TM Timur, Westenberg, M.A., Alewijnse, Sander P.A., Ten Brink, A. P., Mark de Berg, Alewijnse, S.P.A., Michel A. Westenberg, Buchin, K., M. A. Westenberg, S. P. A. Alewijnse, de Berg, Mark, Bouts, Q. W., A. P. ten Brink, Brink, AP Alex ten, Bagautdinov, T. M., de Berg, M.T.; id_orcid, Brink, ten, A.P., Berg, MT Mark de, Westenberg, M. A., De Berg, M., Buchin, Kevin, Sander P.A. Alewijnse, Kevin Buchin, Bagautdinov, Timur M., T. M. Bagautdinov, Bouts, QW Quirijn, Westenberg, Michel A., Westenberg, MA Michel, Alewijnse, S. P. A., Berg, de, M.T., Timur M. Bagautdinov, Q. W. Bouts, K. Buchin, Bouts, Quirijn W., ten Brink, Alex P., Berg, de, M.T.; id_orcid, Quirijn W. Bouts   +44 more
core   +3 more sources

A Comparative Evaluation of Unsupervised Anomaly Detection Techniques for Secure IoT Traffic Analysis

Journal of Sensors, Volume 2026, Issue 1, 2026.
Internet of things (IoT) is an important technology that has numerous applications in many industries. Since IoT involves sensing of data and communication of this data between IoT nodes and IoT sensors, it is vulnerable to cyberattacks from malicious users.
Badriya Murdhi Alenzi, Nasser Allheeib, Sultan Alamri, Deepali Deepali   +3 more
wiley   +1 more source

Acknowledgement to Reviewers of Algorithms in 2017

, 2018
Peer review is an essential part in the publication process, ensuring that Algorithms maintains high quality standards for its published papers.[...
Algorithms Editorial Office
core   +1 more source