MUF-Net: A Novel Self-Attention Based Dual-Task Learning Approach for Automatic Left Ventricle Segmentation in Echocardiography by Juan Lyu, Jinpeng Meng, Yu Zhang, Sai Ho Ling

“…LVEF can be derived by estimating the left ventricular volume from end-systolic and end-diastolic frames through echocardiography segmentation. However, current algorithms either focus primarily on single-frame segmentation, neglecting the temporal and spatial correlations between consecutive frames, or often fail to effectively address the inherent challenges posed by the low-contrast and fuzzy edges characteristic of echocardiography, thereby resulting in suboptimal segmentation outcomes. …”
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The importance of precise and suitable descriptors in data‐driven approach to boost development of lithium batteries: A perspective by Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He

“…It does so by providing examples, summarizing current descriptors and ML algorithms, and examining the potential implications of future AI advancements for the sustainable energy industry.…”
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Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications by Filippo Pesapane, Chiara Trentin, Marta Montesano, Federica Ferrari, Luca Nicosia, Anna Rotili, Silvia Penco, Mariagiorgia Farina, Irene Marinucci, Francesca Abbate, Lorenza Meneghetti, Anna Bozzini, Antuono Latronico, Alessandro Liguori, Giuseppe Carrafiello, Enrico Cassano

“…Objective: During the last decades, advances in computing power, structured data, and algorithm development, developed a technology based on Artificial intelligence (AI) which is currently applied in medicine. …”
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Review of surface measurement methods towards nondestructive internal surface assessment by Kwan Zhi Teh, Saikat Medya, Sugandhana Shanmuganathan, Swee Hock Yeo

“…This paper reviews the measurement methods of capacitance, vibration analysis, optical techniques, X-ray computed tomography, and replica methods critically with their working principles, pros and cons discussed. Their current applications in literature are evaluated to understand the appropriateness for internal surface applications. …”
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Demagnetization Fault Diagnosis for PMSM Drive System with Dual Extended Kalman Filter by Jiahan Wang, Chen Li, Zhanqing Zhou

“…In the proposed scheme, multiple operating states of the motor are acquired by injecting sinusoidal current signals into the <i>d</i>-axis, ensuring that the parameter estimation equation satisfies the full rank condition. …”
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Morphing Quadrotors: Enhancing Versatility and Adaptability in Drone Applications—A Review by Siyuan Xing, Xuhui Zhang, Jiandong Tian, Chunlei Xie, Zhihong Chen, Jianwei Sun

“…This paper presents a comprehensive review of current advancements in morphing quadrotor research, focusing on morphing concept, actuation mechanisms and flight control strategies. …”
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Key Technologies for Intelligent Control of Heavy-Haul Trains Focusing on Safe and Efficient Operation by WANG Qingyuan, WEI Mi, HU Yunqing, WANG Jianhua, JIANG Fan, ZHANG Zhengfang, WANG Kaiyun

“…Considering the developmental trends towards automation and intelligence in China's heavy-haul railways, as well as the severe challenges that the continuous growth in heavy-haul railway transportation demands poses to existing train operational control, this paper presents the current research status of key technologies for the intelligent control of heavy-haul trains and analyzes pressing issues and future trends. …”
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Developing a Predictive Model for Stroke Disease Detection Using a Scalable Machine Learning Approach by Assefa Senbato Genale, Tsion Ayalew Dessalegn

“…We have implemented four scalable algorithms: logistic regression, random forest, gradient-boosting tree, and decision tree, using a dataset that was collected from a Medical Quality Improvement Consortium database. …”
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Visible and near‐infrared image fusion based on information complementarity by Zhuo Li, Shiliang Pu, Mengqi Ji, Feng Zeng, Bo Li

“…The fusion of visible and near‐infrared (NIR) aims to enhance the quality of images acquired by video monitoring systems for the ease of user observation and data processing. Unfortunately, current fusion algorithms produce artefacts and colour distortion since they cannot make use of spectrum properties and are lacking in information complementarity. …”
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Strategic priorities and challenges in research software funding: Results from an international survey [version 2; peer review: 2 approved, 1 approved with reservations, 1 not appr... by Daniel S. Katz, Eric A. Jensen

“…It spans a broad spectrum, including source code files, algorithms, scripts, computational workflows, and executables, all created for or during research. …”
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Reinforcement Learning with Multi-Policy Movement Strategy for Weakly Supervised Temporal Sentence Grounding by Shan Jiang, Yuqiu Kong, Lihe Zhang, Baocai Yin

“…Extensive experiments demonstrate that our proposed method outperforms existing weakly supervised algorithms, achieving state-of-the-art performance on the Charades-STA and ActivityNet Captions datasets.…”
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Modern Methods for Diagnosing Faults in Rotor Systems: A Comprehensive Review and Prospects for AI-Based Expert Systems by Oleksandr Roshchupkin, Ivan Pavlenko

“…Some techniques like the vibration signal analysis method, spectral analysis, thermography, ultrasound diagnosis, and machine learning algorithms for predicting failure are of particular interest among them. …”
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Carbon reduction analysis of power system based on carbon emission flow theory: a case study of Shenzhen power grid by Yinjie Li, Ningrui Zhou, Zeqi Zhang

“…Establishing an accurate carbon measurement system has become a critical prerequisite for achieving emission reduction targets in electricity systems. Current carbon measurement methodologies exhibit notable limitations, particularly in addressing the spatiotemporal heterogeneity of carbon emission factors. …”
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Dagnostics of hydraulic drive of airfield equipment by I. V. Leskovets, A. A. Grats, V. D. Rogozhyn

“…The directions of diagnosis are outlined: with the applications of algorithms based on the use of a complex of controllers designed to collect and store up-to-date diagnostic information; with the help of artificial intelligence allowing to perform step-by-step diagnostics on current information about the speed of hydraulic motors, pressure and fluid velocity. …”
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On the Potential of a New Generation of Magnetometers for MEG: A Beamformer Simulation Study. by Elena Boto, Richard Bowtell, Peter Krüger, T Mark Fromhold, Peter G Morris, Sofie S Meyer, Gareth R Barnes, Matthew J Brookes

“…The latter is limited in current systems due to a requirement for pickup coils to be cryogenically cooled. …”
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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…Leveraging advanced analytical techniques, such as machine learning and optimization algorithms, have created highly accurate feed formulations tailored to specific livestock needs. …”
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Automatic Fault Classification in Photovoltaic Modules Using Denoising Diffusion Probabilistic Model, Generative Adversarial Networks, and Convolutional Neural Networks by Carlos Roberto da Silveira Junior, Carlos Eduardo Rocha Sousa, Ricardo Henrique Fonseca Alves

“…Current techniques for fault analysis in photovoltaic (PV) systems plants involve either electrical performance measurements or image processing, as well as line infrared thermography for visual inspection. …”
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On cofactored verification of EdDSA signatures by Adrian Cinal, Oliwer Sobolewski

“…EdDSA is a Schnorr signature scheme instantiated on top of Edwards curves, which admit fast, constant-time arithmetic, but suffer from the presence of a non-trivial cofactor, where the order of the group of points is a large prime times a small integer (4 or 8). Current standards permit for points present in the signature (commitment and/or public key) to have a component in the small-order subgroup of the group of points. …”
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PSO Tuned Super-Twisting Sliding Mode Controller for Trajectory Tracking Control of an Articulated Robot by Zewdalem Abebaw Ayinalem, Abrham Tadesse Kassie

“…This paper introduces a novel method that integrates SolidWorks modeling to create precise digital representations of the robot’s mechanical structure, facilitating easier development and simulation of control algorithms. To drive the robot joints, a permanent magnet direct current motor is used. …”
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Introduction of self-control of enterprise information system through accounting documentation process of by K.О. Volskа

“…The article considers the concept of self-control, its main criteria as well as the possibility of implementing the self-control in the information system of the enterprise. The current study provides the definition of intelligent information systems and how to use expert knowledge in them. …”
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