Results 141 to 150 of about 40,942 (254)

Advanced forecasting of building energy loads with XGBoost and metaheuristic algorithms integration

Energy Storage and Saving
Accurate forecasting of cooling and heating loads in buildings is vital for effective energy management, cost efficiency, and environmental sustainability.
Zuriani Mustaffa, Mohd Herwan Sulaiman
doaj   +1 more source

Generalization of Optimal Control Saturation Pulse Design for Robust and High CEST Contrast

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1360-1374, March 2026.
ABSTRACT Purpose Optimal control (OC) chemical exchange saturation transfer (CEST) pulse design for singular pulses that can be used flexibly and robustly with high saturation at different duty cycles, saturation durations, and magnetic field strengths. Theory and Methods An OC framework was developed to design a single‐pulse shape that can be flexibly
Clemens Stilianu, Markus Huemer, Moritz Zaiss, Rudolf Stollberger   +3 more
wiley   +1 more source

Metaheuristic Optimization: Algorithmic Design and Applications [PDF]

Journal of Optimization, 2017
Gexiang Zhang, Linqiang Pan, Ferrante Neri, Maoguo Gong, Alberto Leporati   +4 more
openaire   +1 more source

A Heavy‐Duty Vehicle Routing Problem With Temperature Constraints

Networks, Volume 87, Issue 2, Page 131-150, March 2026.
ABSTRACT This article studies a vehicle routing problem involving a fleet of heavy‐duty vehicles and pickup‐and‐delivery requests for crude items that are both heavy and high‐temperature. The objective is to route the fleet in such a way that maximizes resource efficiency and operational efficiency while simultaneously avoiding thermal overload of any ...
Biljana Roljić, Yuan Chen
wiley   +1 more source

Pitfalls, benefits, and comparative analysis of artificial intelligence ChatBots in the systematic review process

International Transactions in Operational Research, Volume 33, Issue 2, Page 719-774, March 2026.
Abstract The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development.
Cinzia Daraio, Simone Di Leo, Federico Ferazzoli   +2 more
wiley   +1 more source

Energy‐aware flexible job shop scheduling problem with nonlinear routes and position‐based learning effect

International Transactions in Operational Research, Volume 33, Issue 2, Page 860-891, March 2026.
Abstract Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption.
Ernesto G. Birgin, José Angel Riveaux, Débora P. Ronconi   +2 more
wiley   +1 more source

Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat's Kinematics

Applied AI Letters, Volume 7, Issue 1, February 2026.
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga, M. Ramashini, Juliana Zaini, R. Müller, Liyanage C. De Silva   +4 more
wiley   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 more
wiley   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

Engineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein, Fahad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +1 more source