Differentiation of Atypical Lipomatous Tumors from Lipomas: Our Experience with Visual Analysis of Conventional Magnetic Resonance Imaging by Luz Maria Moran, Chao Yuan Li Cai, Alberto Ramirez, Ana Royuela

“…We are looking for a management algorithm with the visual analysis of magnetic resonance images in these two fatty soft tissue tumors that allow us to avoid some biopsies. …”
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Investigating Pedestrian Crossing Patterns at Crossing Locations Based on Trajectory Data Collected by UAV by Ting Fu, Shuke Xie, Rubing Li, Junhua Wang, Lanfang Zhang, Anae Sobhani, Shou’en Fang

“…Previous studies on pedestrian crossing have mostly focused on pedestrian crossing decisions; while as an important behavioral aspect, the pedestrian crossing process, i.e., their motions during the entire crossing process, has been narrowly studied. …”
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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…The upper layer reorganizes the tunnel point cloud along its axis, while the lower layer leverages local octrees for fast data querying and updates. …”
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Sentiment Classification of Public Perception on LHKPN Using SVM and Naive Bayes by Ahmad Rijal Hermawan Hermawan, Isa Faqihuddin Hanif

“…Sentiment classification was conducted using two machine learning algorithms: Support Vector Machine (SVM) and Naive Bayes. …”
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On the Usage of Deep Learning Techniques for Unmanned Aerial Vehicle-Based Citrus Crop Health Assessment by Ana I. Gálvez-Gutiérrez, Frederico Afonso, Juana M. Martínez-Heredia

“…To reduce annotation effort, we developed a custom automation algorithm for pixel-wise labelling in complex natural backgrounds. …”
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An Overview of Human Pose Estimation Based on Wireless Signals by Yan CHEN, Rui ZHANG, Yadong LI, Ruiyuan SONG, Ruixu GENG, Hanqin GONG, Binquan WANG, Dongheng ZHANG, Yang HU

“…These methods differ in their hardware systems, signal characteristics, noise processing, and deep learning algorithm design based on the signal frequency used. …”
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Enhanced Fall Detection Using YOLOv7-W6-Pose for Real-Time Elderly Monitoring by Eugenia Tîrziu, Ana-Mihaela Vasilevschi, Adriana Alexandru, Eleonora Tudora

“…Utilizing YOLOv7-W6-Pose’s robust real-time object detection and pose estimation capabilities, the proposed system can effectively identify falls in video feeds by using a webcam and process them in real-time on a high-performance computer equipped with a GPU to accelerate object detection and pose estimation algorithms. YOLO’s single-stage detection mechanism enables quick processing and analysis of video frames, while pose estimation refines this process by analyzing body positions and movements to accurately distinguish falls from other activities. …”
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Fine-Scale Variations and Driving Factors of GPP Derived from Multi-Source Data Fusion in the Mountainous Region of Northwestern Hubei by Dicheng Bai, Yuchen Wang, Yongming Ma, Huanhuan Li, Xiaobin Guan

“…The impact of temperature has been generally stable over the past 20 years across different altitudes, while the relationship with precipitation has exhibited an overall decreasing trend with the increase of altitude. …”
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Modified Swarm-Based Artificial Intelligence Optimization for Optimal Coordination of Directional Overcurrent Relays in Power System by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Herie Park

“…Achieving optimal relay coordination in multi-loop power networks is a complex optimization challenge requiring the minimization of relay operating times and achieve optimal tuning of time dial settings (TDS) and plug settings (PS) while considering the impact of DG integration. The proposed method employs a Quantum-Inspired Adaptive Walrus Optimization Algorithm (QIAWOA), a modified swarm-based artificial intelligence technique (AI) that incorporate rates quantum-inspired principles, such as adaptive quantum rotation gates, to enhance search dynamics and facilitate precise relay coordination. …”
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Iron overload is not the same everywhere: Particularities of iron-metabolism gene mutations in Brazil and a proposal for the investigation and management of iron overload in this p... by Paula de Melo Campos, Ana Carolina Toreli, Dulcinéia Martins de Albuquerque, Fernando Ferreira Costa

“…This study proposes an adapted algorithm for the investigation and management of iron overload in Brazil.…”
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Intelligent Trust Evaluation Method for Underwater Sensor Networks Based on Fuzzy Clustering and Dynamic Weight Allocation by Zhaohui WANG, Guangjie HAN, Jiaxin DU, Chuan LIN, Lei WANG

“…Underwater sensor networks (USN) play a crucial role in marine environmental monitoring and other fields while facing significant security challenges. Trust models can effectively defend against insider attacks and ensure network reliability. …”
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Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets by Weichuan Xiong, Yian Zhan, Rui Xiao, Fangpeng Liu

“…Abstract Sepsis represents a significant global health challenge, necessitating early detection and effective treatment for improved outcomes. While traditional inflammatory markers facilitate the diagnosis of sepsis, the aspect of immune suppression remains poorly addressed. …”
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Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System by Alok Ranjan, Sanjay Bodkhe, Gaurav Goyal, Archana Belge, Sneha Tibude

“…The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). …”
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Prophylaxis of complications in postoperative period in patients, suffering stenosis of carotid arteries by I. S. Pulyaeva, V. A. Prasol, Yu. V. Ivanova

“…Citicoline injection before the carotid artery clamping in the carotid endarterectomy with a temporary by-pass permits to lower the risk for development of neurological complications, and while development of postoperative reperfusion syndrome –to reduce its signs.…”
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A novel blockchain-based privacy-preserving framework for online social networks by Shiwen Zhang, Tingting Yao, Voundi Koe Arthur Sandor, Tien-Hsiung Weng, Wei Liang, Jinshu Su

“…Therefore, it is a challenge to ensure the security of sensitive data while providing efficient and privacy-preserving social network services for users. …”
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Quantitative comparison of a novel swept-source optical coherence tomography angiography device with three established systems by Michael Hafner, Siegfried G. Priglinger, Bettina von Livonius, Maximilian J. Gerhardt

“…We assessed acquisition time and microvascular parameters in the superficial (SCP) and deep (DCP) capillary plexuses using the OCTA Vascular Analyser algorithm for standardized image analysis across devices on 30 eyes from 15 healthy participants. …”
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Abbreviated protocol for ultrasound duplex scanning of the carotid arteries in the evaluation of preclinical atherosclerosis in order to clarify cardiovascular risk by T. V. Balakhonova, O. A. Pogorelova, M. I. Tripoten, A. I. Ershova, M. V. Koshurnikova, А. N. Rogoza

“…A decision-making algorithm has been developed on the basis of conducting an ultrasound SA examination using abbreviated protocols.Conclusion. …”
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A Semi-Trailer Path Planning Method Considering the Surrounding Traffic Conditions and Vehicle Roll Stability by Haochuan Zhang, Zhigen Nie, Yufeng Lian

“…The simulation results demonstrate that the proposed method dynamically adapts the planned path to variations in driving parameters, ensuring trackability while reducing the steering angle, lateral acceleration, and yaw rate. …”
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Integrated Vehicle Dynamics Modeling, Path tracking, and Simulation: A MATLAB Implementation Approach by Fatima Haidar, Abderaouf Laib, Syed Ali Ajwad, Guillaume Guilbert

“…Initially, a kinematic model is established to describe fundamental motion in a 2D plane, while a subsequent dynamic model considers various forces influencing the vehicle's motion in a 3D space. …”
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Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

“…Several machine learning models were evaluated, including random forest, XGBoost, and CatBoost, with model optimization performed using the Sparrow Search Algorithm (SSA) to enhance prediction accuracy. This study produced high-resolution susceptibility maps identifying high-risk zones, revealing a distinct spatial pattern characterized by a concentration of hazards in mountainous areas such as Pingshan County, Junlian County, and Gong County, while plains exhibited a relatively lower risk. …”
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