Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
Get full text

Risk Analysis Under Uncertainty, Subjectivity, and Incomplete Knowledge: With a Use Case of Energy System Failures by Ali Aghazadeh Ardebili, Mahdad Pourmadadkar, Elio Padoano

“…Key components such as the combustion chamber, fuel nozzle, and turbine rotor were consistently identified as high‐risk across methods, emphasizing their criticality for maintenance and design optimization. …”
Get full text

Systemic approach in the development of functional foods for various noncommunicable diseases by I. M. Chernukha, M. A. Nikitina, M. A. Aslanova, A. T. Qusay

“…As a result, we receive a modified Muhammara recipe with optimized protein: fat ratio. Mathematical simulation was carried out using the R Studio software with open-source lpSolve and lpSolveAPI libraries.…”
Get full text

Integrated Energy Management in Small-Scale Smart Grids Considering the Emergency Load Conditions: A Combined Battery Energy Storage, Solar PV, and Power-to-Hydrogen System by Hossein Jokar, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Khmaies Ouahada, Mokhtar Aly

“…Compared to conventional evolutionary methods like particle swarm optimization, non-dominated sorting genetic algorithm III, and biogeography-based optimization, the proposed model exhibits remarkable improvements, outperforming them by 11.4%, 5.6%, and 11.6%, respectively. …”
Get full text

Transductive Radar Clutter Segmentation Network for Ionospheric Inhomogeneity Clutter Suppression by Yuanbiao Li, Lei Yu, Yinsheng Wei

“…A deep unfolding approach maps the iterative optimization procedure onto a neural network, jointly optimizing across multiple traditional clutter suppression methods. …”
Get full text

Measurement-converted Kalman filter tracking with Gaussian intensity attenuation signal in wireless sensor networks by Sha Wen, Liqiang Xing, Xiaoqing Hu, Hui Zhang

“…This approach adopts a measurement conversion method to remove the measurement nonlinearity by the maximum likelihood estimator, and a linear estimate of the target position and its associated noise statistics obtained by the Newton–Raphson iterative optimization steps are applied into the standard Kalman filter. …”
Get full text

Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network by Mehdi Veisi

“…Key constraints involve operational planning for renewable sources, battery systems, and vehicle refueling stations while accounting for reactive power management. …”
Get full text

Developing a Drowsiness Detection System for Safe Driving Using YOLOv9 by Fernando Candra Yulianto, Wiwit Agus Triyanto, Syafiul Muzid

“…The model performance was evaluated based on precision, recall, F1 score, and mean average precision (mAP) metrics. The best model was optimized using several optimization techniques to determine the most optimal results. …”
Get full text

ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…ParticleHolography.jl is an open-source Julia package designed for particle measurements using in-line holography. …”
Get full text

Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules by Zhidan Zhong, Hao Xie, Zhenxin Wang, Zhihui Zhang

“…First, the pre-trained model of the source domain is applied to the target domain dataset through an adversarial domain adaptation technique. …”
Get full text

Multi-Agent Deep Reinforcement Learning Approach for Temporally Coordinated Demand Response in Microgrids by Chunchao Hu, Zexiang Cai, Yanxu Zhang

“…Price-based and incentive-based demand response (DR) are both recognized as promising solutions to address the increasing uncertainties of renewable energy sources (RES) in microgrids. However, since the temporally optimization horizons of price-based and incentive-based DR are different, few existing methods consider their coordination. …”
Get full text

Comparison of numerical model, neural intelligent and GeoStatistical in estimating groundwater table by Maryam Bayatvarkeshi, Rojin Fasihi

“…The NRMSE value in Wavelet-ANN method as optimization method was 0.11 % and in numerical model was 2.2 %. …”
Get full text

Enhancing medical AI with retrieval-augmented generation: A mini narrative review by Omid Kohandel Gargari, Gholamreza Habibi

“…Retrieval-augmented generation (RAG) is a powerful technique in artificial intelligence (AI) and machine learning that enhances the capabilities of large language models (LLMs) by integrating external data sources, allowing for more accurate, contextually relevant responses. …”
Get full text

AI-driven demand forecasting for enhanced energy management in renewable microgrids: A hybrid LSTM-CNN approach by Bashiru olalekan ariyo, mutalub adesina lambe, olalekan ogunbiyi, musa abdulwaheed, bilkisu jimada ojuolape, monsurat omolara balogun

“…Aim/Background: The increasing integration of renewable energy sources into microgrids underscores the need for accurate demand forecasting to ensure stable and efficient microgrid operation. …”
Get full text

Production of Single-Cell Oil from a Local Isolate Bacillus subtilis Using Palm Fronds by Wassan Dawood Musa Al-Obeidi, Dhafer F. Al-Rawi, Loay H. Ali

“…Submerged cultures were used to improve SCO production, with optimal conditions determined as pH 7, a temperature of 30°C, carbon source concentration of 3 g/100 ml, inoculum volume of 3 ml/100 ml, inoculum density of 20 × 107 cells, and an incubation period of 72 hours. …”
Get full text

Diversity of extracellular vesicles derived from calli, cell culture and apoplastic fluid of tobacco by Michaela Kocholatá, Jan Malý, Sylvie Kříženecká, Olga Janoušková

“…Moreover, our investigation extended to the presence of tobacco secondary metabolites, specifically anabasine and nicotine, within vesicles originating from three distinct tobacco sources. The outcomes of our study highlight variations not only in vesicle yields based on their source but also in their loadability and the presence of nicotine and anabasine. …”
Get full text

Technology for the Bacillus megaterium Fodder Biomass Production by Aleksandra V. Baurina, Dmitry V. Baurin, Irina V. Shakir, Victor I. Panfilov

“…Sunflower meal is a promising source of sunflower protein isolate. The research objective was to develop a new technology for the production of Bacillus megaterium bacterial biomass for fodder purposes. …”
Get full text

Development of an EOR-produced petroleum wastewater treatment system through integrated polyacrylonitrile membrane and ZrO2/sericin technologies: revelation of interactive mechanis... by Mengna Li, Guohe Huang, Xiujuan Chen, Zeyuan Xu, Jing Huang, Jianan Yin, Renfei Feng, Ning Chen, Stuart Read, Shuguang Wang

Get full text

Unraveling the discrepancies between Eulerian and Lagrangian moisture tracking models in monsoon- and westerly-dominated basins of the Tibetan Plateau by Y. Li, Y. Li, Y. Li, C. Wang, C. Wang, Q. Tang, S. Yao, B. Sun, B. Sun, H. Peng, S. Xiao, S. Xiao, S. Xiao

“…In this study, we compare the most widely used Eulerian and Lagrangian moisture tracking models over the TP, i.e., WAM2layers (the Water Accounting Model – 2 layers) and FLEXPART-WaterSip (the FLEXible PARTicle dispersion model coupled with the “WaterSip” moisture source diagnostic method), specifically focusing on a basin governed by the Indian summer monsoon (Yarlung Zangbo River basin, YB) and a westerly-dominated basin (upper Tarim River basin, UTB). …”
Get full text

Effect of temperature and time on purity, morphology and phase transformations of silica from rice husk by Md. Tariqul Islam, Md. Faruk Hossen, Md. Kudrat-E-Zahan, Md. Ali Asraf, C.M. Zakaria, Hayatullah, Md Shohel Rana

“…In this work, Thermal and chemical treatment methods to synthesize silica from rice husks. The multiple properties of silica sources depend on various calcination temperatures (500–1000 ​°C) and time (1–6 ​h) in temperature-controlled muffle furnaces. …”
Get full text