Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

“…Preprocessing the dataset using the Z-score approach helped to detect outliers, further improving the accuracy and dependability of the analysis. Also, Fireworks Algorithm (FWA) is employed for hyper-parameter tuning in this work. …”
Get full text

A novel driving lane change intent prediction model based on image data mining approach and transformer by Junbo He, Wei Guan, Xuanyuan Gou, Zhiqing Zhang

“…Lane-changing represents not only a common driving behavior but also a potentially hazardous one. Accurately predicting lane change intentions plays a crucial role in enhancing road traffic safety and guiding autonomous vehicle planning. …”
Get full text

Self-healing and energy-efficient cluster-based routing for sustainable wireless sensor networks by Gayathri M, Vanapalli Veera Snigdha

Get full text

Fault Location of DC Transmission Lines Based on Backward Waves Considering Wave Speed Changes by Jianwei WU, Jianfeng SHAO

“…The traveling-wave-based algorithm is not reliable due to its wave head identification problem, and the choice of wave speed also affects the accuracy of fault location; The fault location accuracy of the fault-analysis-based algorithm is not high because of model accuracy; The natural-frequency-based algorithm has dead zone when the fault occurs at the end of the line. …”
Get full text

A New Approach to Environmental Economic Dispatch Using Multiobjective Differential Evolution: A Case Study by Carine Nogueira Santino, Jorge Laureano Moya Rodriguez, Cristiano Hora De Oliveira Fontes

“…This new approach was applied together with the Differential Evolution Algorithm in two case studies which comprise a real thermal power plant with ten generating units and an IEEE test system with thirteen generating units. …”
Get full text

Design and development of optimal route planning software for the inspection of earthquake monitoring stations by Weifeng Zhang, Jie Pan, Dong Fan, Liangliang Sun, Guibao Zhao, Jingsheng Li

Get full text

Strategic Power Flow-Stackelberg Dynamics for Minimizing Transmission Losses in Peer-to-Peer Trading by K. V. Biji Varghese, Dattatraya N. Gaonkar

“…The study develops distributed algorithms to achieve Stackelberg equilibrium, ensuring fair and efficient energy trading, and addresses privacy concerns among microgrids as well. …”
Get full text

Understanding temperature-rain data using ID3 based concept reduction technique in FCA by S. Usharani, S. Kaspar

“…In this process an ID3 algorithm based method is employed to identify more important features from the context. …”
Get full text

Research on Lithium-Ion Battery State of Health Prediction Based on XGBoost–ARIMA Joint Optimization by Chen Fei, Zhuo Lu, Weiwei Jiang, Liang Zhao, Fan Zhang

“…Experimental results demonstrate that the proposed XGBoost–ARIMA model outperforms traditional algorithms, including Linear Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN), not only in estimation accuracy but also in generalization capability, showing significant improvements over five other regression models.…”
Get full text

A Memetic and Reflective Evolution Framework for Automatic Heuristic Design Using Large Language Models by Fubo Qi, Tianyu Wang, Ruixiang Zheng, Mian Li

Get full text

Conceptualizing dust emission areas and hotspots over the Aeolian landforms via remote-sensing aerosol algorithms (case study: Lake Urmia, a major hypersaline lake in the Middle Ea... by Hesam Ahmady-Birgani

“…The algorithms of AODNor, AODFrq, and AOD trend are calculated and visualized from 2001 to 2024. …”
Get full text

Levenberg-Marquardt Algorithm-Based Neural Network Smart Control Strategy for a Low-Input Current Ripple and High-Voltage Gain Power Converter in Fuel-Cells Energy Systems by Mustafa Ozden, Davut Ertekin, Pierluigi Siano

“…Additionally, the network’s input includes not only the reference signal but also the circuit input voltage and output current value. …”
Get full text

Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

“…Optimize the load balancing algorithm on the basis of cloud computing technology, and improve the teaching service providing ability of online teaching system based on J2EE. …”
Get full text

A Robust Heuristics for the Online Job Shop Scheduling Problem by Hugo Zupan, Niko Herakovič, Janez Žerovnik

“…The heuristics at the level of probabilistic rules for running the local queues is experimentally shown to provide the solutions of quality that is within acceptable approximation ratios to the best known solutions obtained by the best online algorithms. The probabilistic rule defines a model which is not unlike the spin glass models that are closely related to quantum computing. …”
Get full text

Honey Encryption Security Techniques: A Review Paper by Ammar Gharbi, Ahmed Nori

Get full text

Derivation and external validation of a risk prediction algorithm to estimate future risk of cardiovascular death among patients with type 2 diabetes and incident diabetic nephropa... by Bin Zhao, Jin Shang, Xiaoxue Zhang

Get full text

Estimation and analysis of vegetation parameters for the water cloud model by Xiangdong Qin, Zhiguo Pang, Jingxuan Lu

Get full text

Enhanced load frequency regulation in microgrids with renewable energy sources and electric vehicles by Imran Khan, Suheel Abdullah Malik, Amil Daraz, Baitullah Bareer

“…To optimize the controller’s parameters, the recently introduced Black-winged Kite Algorithm (BKA) is employed for its superior search efficiency and quick convergence. …”
Get full text

Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

“…Compared to DQN, dueling DQN, M-DQN, improved Q-learning, DDM-DQN, EPF (enhanced potential field), APF-DQN, and L1-MBRL, our algorithm achieves the highest success rate of 77.67%, while also having the lowest average number of moving steps. …”
Get full text

Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection by Jinge Shi, Yi Chen, Ali Asghar Heidari, Zhennao Cai, Huiling Chen, Guoxi Liang

“…The TS mechanism employs a circular topological scheme to conduct a thorough exploration of solution regions surrounding each solution, enabling a careful examination of valuable solution areas and enhancing the algorithm’s effectiveness in local exploration. To prevent the algorithm from becoming trapped in local optima, the GSR also integrates gradient descent principles to direct the algorithm in a wider investigation of the global solution space. …”
Get full text