Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM by Ahmed Mohammed Ahmed Alsarori, Mohd Herwan Sulaiman

“…Cardiovascular diseases (CVD) remain the leading cause of mortality worldwide, emphasizing the urgent need for accurate and efficient predictive models. This study proposes a dual-output deep learning model based on a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model, optimized using the Evolutionary Mating Algorithm (EMA). …”
Get full text

PERFORMANCE ANALYSIS OF HUNGARIAN FOOD INDUSTRY ENTERPRISES USING THE DEA METHOD by Orsolya Tünde NAGY, Éva DARABOS, Bernadett Béresné MÁRTHA, Anita KISS

“…The linear programming-based DEA model calculates a relative efficiency score for each decision-making unit, comparing firms with similar input-output structures. …”
Get full text

Evaluating smart city technology efficiency and citizen satisfaction using data envelopment analysis by Omer Bafail

Get full text

A Lightweight Dual-Output Vision Transformer for Enhanced Lung Nodule Classification Using CT Images by Menna Allah Mahmoud PhD, Yanhua Wen MD, Yuling Liufu MD, Xiaohuan Pan MD, Ruihua Su MD, Yubao Guan MD

“…Introduction This study evaluates the effectiveness of a lightweight vision transformer (EfficientFormerV2-S2) with a dual-output architecture for lung nodule classification, assessing its performance and generalizability across multiple datasets. …”
Get full text

Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Finally, Efficient Context Fusion combines the reconstructed feature maps from different decoding layers into the image space, preserving the semantic integrity of the output image. …”
Get full text

Effect of Hole Geometry Shape in Vortex Generators on Fluid Output Temperature: Computational Fluids Dynamics Validation by Mohd Afzanizam Mohd Rosli, Singgih Dwi Prasetyo, Dominicus Danardono Dwi Prija Tjahjana, Alfian Fahrul Yuliansyah, Zainal Arifin

Get full text

A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO by Shahnaz Fatima, M. P. Subba Raju, R. Anil Kumar, Vatsala Anand, Yarrapragada K. S. S. Rao, D. Kishore, U. S. B. K. Mahalaxmi, K. Kalyani

“…It uses advanced deep-learning models to address challenges like beam selection, power control, and missing data. The proposed method is efficient and accurate, outperforming other strategies.…”
Get full text

Research on the Influence of Refractive Index Distribution of Ytterbium-doped Fiber Core on Stable Laser Output Power by QIN Yu, ZHANG Junyi, DING Song, TANG Jiang, ZHANG Zelin, CHEN Yali, XIAO Limin, SHEN Yichun

“…When the RIP slope is 0.088 4, the maximum stable laser output power of 2 030 W and the highest slope efficiency of 82.87% are achieved.…”
Get full text

Large Language Model-Driven Structured Output: A Comprehensive Benchmark and Spatial Data Generation Framework by Diya Li, Yue Zhao, Zhifang Wang, Calvin Jung, Zhe Zhang

“…We propose new metrics and datasets along with a new method for evaluating the quality and consistency of these outputs. …”
Get full text

A comprehensive review of machine learning applications in forecasting solar PV and wind turbine power output by Ian B. Benitez, Jai Govind Singh

“…Abstract With climate change driving the global push toward sustainable energy, the reliability of power systems increasingly depends on accurate forecasting methods. This study examined the role of machine learning (ML) in forecasting solar PV power output (SPVPO) and wind turbine power output (WTPO) and identified the challenges posed by the intermittent nature of these renewable energy sources. …”
Get full text

Fiber optic gyroscope with output signal noise reduction system: effect of system parameters on noise reduction by Spiridonov, Dmitriy Mikhailovich, Vadivasova, Tatjana Evgenevna, Obukhovich, Dmitry Vyacheslav

“…The purpose of this work is to determine the optimal parameters for matching the signals of the measuring channels of a fiber-optic gyroscope with an output signal noise reduction system. Methods. The paper analyzes the circuit of a fiber-optic gyroscope with an output signal noise reduction system based on subtracting the signal of the reference measuring channel containing the intensity noise of the optical radiation source from the signal of the main measuring channel containing the useful information signal and the noise component. …”
Get full text

Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…ObjectiveThe single-inductance dual-output (SIDO) converter has gained increasing attention due to its reduced magnetic component count, compact size, low cost, and high efficiency. …”
Get full text

Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…Sensitivity analysis is an important method for studying the influence of the variations in various parameters on the output of a biochemical model. …”
Get full text

Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

“…Furthermore, the proposed method has been validated in a real-world industrial application focused on machining processes, underscoring its effectiveness and practicality in addressing complex input-output challenges.…”
Get full text

Over 10% Gain of Output Power of Medium-Sized Solar Cells by an Improvement of Geometry of Collector Electrodes by Kei Obinata, Yasuhiko Takeda, Naohiko Kato, Tomoyoshi Motohiro

“…In the present study, we have constructed an advisable modeling method to calculate output power of medium-sized solar cells and optimized geometry of the collector electrodes. …”
Get full text

Analysis and control design for input‐series output‐parallel multi‐channel inductive power transfer system by Leyu Wang, Pan Sun, Yan Liang, Xusheng Wu, Qijun Deng, Enguo Rong

“…Abstract To realize high‐power inductive power transfer (IPT) for fast charging of electric vehicles (EVs), an input‐series output‐parallel (ISOP) multi‐channel IPT system is analysed in this paper, and an output control strategy based on single neuron controller is proposed to improve the stability of the system. …”
Get full text

From production to market; enhancing food security through efficient mushroom distribution: A study of energy and economic evaluations by Mina Shafei Galeh, Mahmoud Ghasemi-Nejad-Raeini, Morteza Taki

“…This study aims to evaluate the qualitative, energy-economic, and technical efficiency aspects of two mushroom distribution methods—packaged and bulk—in the production chain. …”
Get full text

Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System by Davide Milillo, Lorenzo Sabino, Rafiq Asghar, Francesco Riganti Fulginei

Get full text

Wave Prediction Error Compensation and PTO Optimization Control Method for Improving the WEC Power Quality by Tianlong Lan, Jiarui Wang, Luliang He, Peng Qian, Dahai Zhang, Bo Feng

“…This work aims to address the limitations of existing wave prediction methods and improve the efficiency and stability of hydraulic PTO systems in WECs. …”
Get full text

A Dynamic Analysis of a Cantilever Piezoelectric Vibration Energy Harvester with Maximized Electric Polarization Due to the Optimal Shape of the Thickness for First Eigen Frequency by Paulius Skėrys, Rimvydas Gaidys

Get full text