DOA Estimation Based on Hybrid Digital and Analog Phase Alignment With Polynomial Rooting Approaches for Hybrid Massive MIMO Receive Array by Tsui-Ping Chang, Chao-Li Meng

“…This paper introduces a novel approach for direction of arrival (DOA) estimation utilizing hybrid digital and analog phase alignment (HDAPA) tailored for hybrid analog and digital massive multiple-input multiple-output (MIMO) receive arrays. To address the inherent high complexity associated with traditional HDAPA and analog phase alignment methods—primarily due to exhaustive linear spectrum searching with small step sizes—a more efficient method has been developed. …”
Get full text

A comprehensive review of artificial intelligence applications in wind energy power generation by Pouya Moshtaghi, Najmeh Hajialigol, Behnam Rafiei

“…In recent years, data-driven approaches and machine learning-based methods have helped to enhance the operation and maintenance (O&M) of wind farms. …”
Get full text

A survey of streaming data anomaly detection in network security by Pengju Zhou

“…It systematically categorizes and elucidates the various types of datasets, measurement techniques, detection algorithms, and output results of streaming data. Furthermore, the review critically compares network security application scenarios and problem-solving capabilities of streaming data anomaly detection methods. …”
Get full text

Designing and Testing of a Simple Solar Still for Thermal Desalination. by Mujuni, Alex

“…Solar stills, among various desalination methods, are favored for their low maintenance and affordability, although their output is limited. …”
Get full text

Image processing with Optical matrix vector multipliers implemented for encoding and decoding tasks by Minjoo Kim, Yelim Kim, Won Il Park

“…To address the challenges in efficient decoding, we propose a method that optimizes output processing through scalar multiplications, enhancing performance in generating higher-dimensional outputs. …”
Get full text

Investigating the Sustainability of Return to Scale Classification in a Two-Stage Network Based on DEA Models by Maryam Sarparast, Farhad Hosseinzadeh Lotfi, Alireza Amirteimoori

“…A stability region for changes in primary inputs and final outputs is only determined especially for DMUs that are efficient so that it maintains the classification of the returns to scale units. …”
Get full text

Design of a SMS Based Voting System. by Owembabazi Justus

“…It was a well written code using the Arduino IDE was simulated, measured the output voltage, current and the output wave form displayed using the oscilloscope. …”
Get full text

Dynamic Structure-Aware Modulation Network for Underwater Image Super-Resolution by Li Wang, Ke Li, Chengang Dong, Keyong Shen, Yang Mu

“…Plenty of deep learning methods have provided a substantial performance boost for SR. …”
Get full text

Modified energy-based GAN for intensity in homogeneity correction in brain MR images by Yepuganti Karuna, Neelam Syamala, C. V. Ravikumar, Pooja Thakur, Saritha Saladi

“…In this study, we introduced a more energy-efficient intensity inhomogeneity correction (IIC) method that makes use of the Modified Energy-based Generative Adversarial Network. …”
Get full text

Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions by Fares Bettahar, Sabrina Abdeddaim, Achour Betka

“…Efficient solar panel power generation is crucial for sustainable energy systems, particularly as PV systems are often installed near urban areas where shadows from buildings and trees can cause fluctuations in power output.  …”
Get full text

Artificial intelligence orchestration for text-based ultrasonic simulation via self-review by multi-large language model agents by Soyeon Kim, Yonggyun Yu, Hogeon Seo

“…By integrating text-based control and Ground AI mechanisms, the proposed approach provides an efficient and scalable alternative to traditional GUI-based control methods, particularly in time-sensitive applications such as digital twin systems.…”
Get full text

Improved marine predator MPPT algorithm for photovoltaic systems in partial shading conditions by Hanbo Zheng, Qi Du, Shuqin Mo, Tuanfa Qin, Shusheng Wang, Zhe Li

“…To optimize PV array output efficiency under PS conditions, this paper investigates a MPPT algorithm for PV arrays in partial shading environments. …”
Get full text

Nonlinear waveform optimization for wireless power transfer systems by Lina Yuan, Huajun Chen, Maoxue Hu, Jing Gong

“…Our study highlights the critical role of nonlinearity in enhancing rectification efficiency and demonstrates that large-scale WPT architectures can significantly improve end-to-end power transmission efficiency and transmission range. …”
Get full text

Interference Reduction by Millimeter Wave Technology for 5G-Based Green Communications by Tin-Yu Wu, Tse Chang

“…The primary goal of this paper is the optimization of data transmissions and connections between 5G base stations (BSs) as well as the improvement of access technologies and transmission methods in consideration of massive multi-input multi-output, a key technology in 5G networks. …”
Get full text

Energy Hub Operation Under Uncertainty: Monte Carlo Risk Assessment Using Gaussian and KDE-Based Data by Spyros Giannelos, Danny Pudjianto, Tai Zhang, Goran Strbac

“…Energy hubs integrating onsite renewable generation and battery storage provide cost-efficient solutions for meeting building electricity requirements. …”
Get full text

Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models by A. Ayada, D. Guiza, D. Ounnas, N. Tidjani

“…This paper introduces an innovative fuzzy tracking control that integrates time-discrete T-S models and VDVs concept to develop an efficient digital controller. Goal. The proposed fuzzy control strategy aims to regulate the output voltage regardless of sudden change in setpoint, load variation and change in input voltage. …”
Get full text

Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming by Mohammed Yunus, Mohammad S. Alsoufi

“…Friction stir welding (FSW) is the most popular and efficient method of solid-state joining for similar as well as dissimilar metals and alloys. …”
Get full text

Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. …”
Get full text

Analysis of a Substrate Integrated Waveguide Hybrid Ring (Rat-Race) Coupler by Ramin Dehdasht-Heydari, Keyvan Forooraghi, Mohammad Naser-Moghadasi

“…This paper presents an efficient analysis of a substrate integrated waveguide (SIW) single-layer hybrid ring coupler (rat-race) for millimeter-wave and microwave applications. …”
Get full text

Robust control and data reconstruction for nonlinear epidemiological models using feedback linearization and state estimation by Balázs Csutak, Gábor Szederkényi

“…To illustrate the capabilities and robustness of the proposed method, we carry out multiple case studies for output tracking and data reconstruction on Swedish and Hungarian data, all in the presence of serious model and parameter mismatch. …”
Get full text