Results 61 to 70 of about 3,757,573 (172)

TabNet‐SFO: An Intrusion Detection Model for Smart Water Management in Smart Cities

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
As Smart City (SC) infrastructures evolve rapidly, securing critical systems like smart water management (SWM) becomes paramount to protecting against cyber threats. Enhancing the security, sustainability and execution of conventional schemes is considered significant in developing smart environments.
Wahid Rajeh, Majed M. Aborokbah, Manimurugan S., Tawfiq Alashoor, Karthikeyan P., Eugenio Vocaturo   +5 more
wiley   +1 more source

Credit card fraud detection using the brown bear optimization algorithm

Alexandria Engineering Journal
Fraud detection in banking systems is crucial for financial stability, customer protection, reputation management, and regulatory compliance. Machine Learning (ML) is vital in improving data analysis, real-time fraud detection, and developing fraud ...
Shaymaa E. Sorour, Khalied M. AlBarrak, Amr A. Abohany, Amr A. Abd El-Mageed   +3 more
doaj   +1 more source

Sustainable use of a smartphone and regulatory needs

Sustainable Development, Volume 32, Issue 6, Page 6182-6200, December 2024.
Abstract The significance of information and communication technologies (ICT) for the Paris Climate Agreement is continuously increasing because of its growing energy consumption. Here we examine the question for the smartphone and extend the investigation to more aspects of sustainability.
Martin Kögler, Katharina Paulick, Jürgen Scheffran, Mario Birkholz   +3 more
wiley   +1 more source

Rolling bearing weak fault detection using transient structure‐optimal VMD and adaptive group sparse coding

IET Science, Measurement &Technology, Volume 18, Issue 2, Page 86-102, March 2024.
The contributions of this paper are mainly reflected in: (1) A method for determining the modes number of VMD using SVS technology is proposed, which can effectively avoid the shortcomings of the optimization algorithm. (2) The TSM index is established to describe the transient structure of bearing fault signals, and the balance factor selection based ...
Xing Yuan, Hui Liu, Huijie Zhang
wiley   +1 more source

Evidence from interpretable machine learning to inform spatial management of Palau's tuna fisheries

Ecosphere, Volume 15, Issue 2, February 2024.
Abstract Static and dynamic area‐based management tools hold substantial potential to balance socioeconomic benefits derived from fisheries and costs from bycatch mortality of at‐risk species. Palau longline fisheries have high bycatch of at‐risk species including the olive ridley marine turtle and silky and blue sharks.
Eric Gilman, Milani Chaloupka
wiley   +1 more source

Sailfish optimizer based CLAHE with U-NET for MRI brain tumour segmentation

Measurement: Sensors
Semantic brain tumour segmentation is a significant contribution to medical image processing. This research is helpful for doctors making diagnoses and determining the severity of lesions.
G. Yogalakshmi, B. Sheela Rani
doaj   +1 more source

Crayfish optimization algorithm

, 2023
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different
Mirjalili, S, Changsheng Wen, Heming Jia, Rao, H, Honghua Rao, Seyedali Mirjalili, Wen, C, Jia, H   +7 more
core   +1 more source

Dynamic landslide susceptibility mapping using swarm intelligence and multi-temporal InSAR

Geomatics, Natural Hazards & Risk
Accurate landslide susceptibility mapping is key to effectively mitigating risks in mining-affected environments; however, most existing approaches rely on static assumptions and single-dimension optimization, limiting their ability to capture evolving ...
Liang Dong, Jin Zhang, Bin Zhang, Ao Zhao, Wenqing Feng   +4 more
doaj   +1 more source

Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning

Discover Artificial Intelligence
Modern communication networks are becoming increasingly complex as they accommodate rising traffic from mobile users, expanding IoT ecosystems, and delay-sensitive services.
Qixuan Yu
doaj   +1 more source

Enhanced IoT-Based Face Mask Detection Framework Using Optimized Deep Learning Models: A Hybrid Approach With Adaptive Algorithms

IEEE Access
The COVID-19 pandemic has made face mask detection into a big thing because it is essential in public health monitoring. Meanwhile, the growing number of things that can be connected to the internet and the increasing integration of this technology mean ...
Parul Dubey, Pushkar Dubey, Celestine Iwendi, Cresantus N. Biamba, Deepak Dasaratha Rao   +4 more
doaj   +1 more source