Results 191 to 200 of about 161,130 (264)

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Improving Visible Light Positioning Accuracy Using Particle Swarm Optimization (PSO) for Deep Learning Hyperparameter Updating in Received Signal Strength (RSS)-Based Convolutional Neural Network (CNN). [PDF]

Sensors (Basel)
Chang CM, Lin YZ, Chow CW.
europepmc   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Stability analysis and prediction of hazardous rock mass in cold regions based on hybrid algorithm model. [PDF]

Sci Rep
Liu X, Liu Q, Guo H, Sun J.
europepmc   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

Air quality index AQI classification based on hybrid particle swarm and grey wolf optimization with ensemble machine learning model. [PDF]

Sci Rep
Elabd E, Hamouda HM, Ali MAM, Hamid AS, Fouad Y.   +4 more
europepmc   +1 more source

Data-driven prediction of future purchase behavior in cross-border e-commerce using sequence modeling with PSO-tuned LSTM. [PDF]

PLoS One
Yang Y.
europepmc   +1 more source

Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam, Nuruzzaman Faruqui, Akm Azad, Mohammad Ali Moni   +3 more
wiley   +1 more source

Predicting spatiotemporal changes in flood prone regions using PSO-ML coupling under climate change scenarios. [PDF]

Sci Rep
Laghari AA, Shen Y, Kumar A, Abro QU, Shen Y, Guo Q.   +5 more
europepmc   +1 more source

Simultaneous prediction and optimisation of rock fragmentation and ground vibration using an ANN-RF ensemble in open-pit blasting. [PDF]

Sci Rep
Saubi O, Jamisola RS, Suglo RS, Matsebe O.   +3 more
europepmc   +1 more source