ML-based Plant Stress Detection from IoT-sensed Reduced Electromes by Marcos De Oliveira Jr, Gregory Sedrez, Gerson Geraldo H. Cavalheiro

“…The use of Internet of Things (IoT) devices and Machine Learning (ML) techniques has automated and enhanced data collection and classification, helping researchers identify behaviors and classify them to detect plant stress. However, processing this information means dealing with large amounts of data, which is a major challenge from a computer science perspective. …”
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Preventable diagnostic errors of lower gastrointestinal perforation: a secondary analysis of a large-scale multicenter retrospective study by Taku Harada, Takashi Watari, Satoshi Watanuki, Seiko Kushiro, Taiju Miyagami, Syunsuke Syusa, Satoshi Suzuki, Tetsuya Hiyoshi, Suguru Hasegawa, Shigeki Nabeshima, Hidetoshi Aihara, Shun Yamashita, Masaki Tago, Fumitaka Yoshimura, Kotaro Kunitomo, Takahiro Tsuji, Masanori Hirose, Tomoya Tsuchida, Taro Shimizu

“…Clinical history and computed tomography (CT) imaging information were collected for 138 cases. …”
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CALPHAD-Assisted Analysis of Fe-Rich Intermetallics and Their Effect on the Mechanical Properties of Al-Fe-Si Sheets via Continuous Casting and Direct Rolling by Longfei Li, Xiaolong Li, Lei Shi, Shouzhi Huang, Cong Xu, Guangxi Lu, Shaokang Guan

“…As an eco-efficient short-process manufacturing technique for aluminum alloys, twin-belt continuous casting and direct rolling (TBCCR) demonstrates significant production advantages. …”
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Mosquito prevention strategies can improve indoor heat stress in hot climates: a case of traditional Kenyan homes by Haiwei Li, Haimavati Raman, Bernard Abong’o, Teresa Bange, Yongling Zhao, Carol Brayne, Ronita Bardhan

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A Real-Time Global Re-Localization Framework for a 3D LiDAR-Based Navigation System by Ziqi Chai, Chao Liu, Zhenhua Xiong

“…Moreover, these methods are limited by the requirement of using the same types of sensors in the re-localization process and the process is time consuming. In this paper, a template-matching-based global re-localization framework is proposed to address these challenges. …”
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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…Gesture recognition technology based on surface electromyography signal (sEMG) has important application value in human-computer interaction, medical rehabilitation, and other fields. …”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

“…The analysis declares substantial advancements in testing methodologies, signal processing, and data interpretation techniques for evaluating the structural integrity of deep foundations. …”
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Invariant Feature Matching in Spacecraft Rendezvous and Docking Optical Imaging Based on Deep Learning by Dongwen Guo, Shuang Wu, Desheng Weng, Chenzhong Gao, Wei Li

“…And, in the feature matcher, it employs feature classification to reduce computational load, thereby achieving high-precision matching. …”
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Keypoint-Based Bee Orientation Estimation and Ramp Detection at the Hive Entrance for Bee Behavior Identification System by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Darius Andriukaitis

“…The research utilizes YOLOv8 pose models, trained on a dataset created using an open-source computer vision annotation tool. The annotation process involves associating bounding boxes with keypoints to represent bee orientations, with each bee annotated using two keypoints: one for the head and one for the stinger. …”
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Etiology and patterns of mandibular fractures in cats by Ana C. Castejón-González, Darko Stefanovski, Alexander M. Reiter, Alexander M. Reiter

“…The most common fracture location was the mandibular ramus (51.6%, excluding the condylar process), followed by the condylar process (33.9%). …”
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Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning by Mark S. Bartlett, Jared VanBlitterswyk, Martha Farella, Jinshu Li, Curtis Smith, Anthony J. Parolari, Lalitha Krishnamoorthy, Assaad Mrad

“…Machine learning (ML) provides a promising solution for this rapid delineation, offering a computationally efficient alternative to high‐resolution 2D flood models. …”
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DiffBTS: A Lightweight Diffusion Model for 3D Multimodal Brain Tumor Segmentation by Zuxin Nie, Jiahong Yang, Chengxuan Li, Yaqin Wang, Jun Tang

“…This design prevents computational complexity from growing in square steps. …”
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Sample Rocks Tests and Slope Stability Analysis of a Mine Waste Dump by Ping Zou, Ximo Zhao, Zhonghua Meng, Aibing Li, Zhengyu Liu, Wanjie Hu

“…MIDAS-GTS/NX has the advantage of pre-processing modeling. FLAC3D has good computational and analytical capabilities. …”
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Measurement of Fracture Networks in Rock Sample by X-Ray Tomography, Convolutional Filtering and Deep Learning by Alessia Caputo, Maria Teresa Calcagni, Giovanni Salerno, Elisa Mammoliti, Paolo Castellini

“…This study presents a comprehensive methodology for the detection and characterization of fractures in geological samples using X-ray computed tomography (CT). By combining convolution-based image processing techniques with advanced neural network-based segmentation, the proposed approach achieves high precision in identifying complex fracture networks. …”
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Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem by Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak

“…Our results show how the information‐theoretic scores complement BME by providing a more complete picture concerning the Bayesian updating process. Additionally, we demonstrate how both RE and IE can be used to objectively compare models that feature different data sets for calibration. …”
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Enhancing Predictive Urban Planning in European Smart Cities Through AI-Driven Digital Twin Technology: A Case Study of Greece by Dimitrios Kalfas, Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Fotios Chatzitheodoridis, Evangelia Ziouziou

“…It considers the effect of specific elements including simulation accuracy, real-time data processing, artificial intelligence tools, and system readiness on the urban planning process. …”
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Adaptive Select Loss Strategy for Semantic Segmentation of Agricultural Crop Images by Corneliu Florea, Laura Florea, Mihai Ivanovici

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High-Speed 6DoF Tool Monitoring Using a Low-Cost Photogrammetric System by Ben Sargeant, Pablo Puerto, Charles Richards, Ibai Leizea, Asier Garcia, Stuart Robson

“…The use of an initial characterization process carried out using IDEKO’s VSET© system is followed by live object tracking in bespoke image processing software running on a consumer-grade computer. …”
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Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution by Jing Li, Jianhua Gong, Jun Shen, Kege Yang, Jin Zhou, Yihong Liao

“…To determine the optimal corrosion monitoring points within the venting pipelines and provide effective guidance for blowdown operation management, this study conducted a comprehensive predictive analysis of internal corrosion phenomena in the venting pipeline systems of high-sulfur natural gas processing plants. Computational Fluid Dynamics (CFD) is utilized to analyze corrosion at different cross-sections within the medium-pressure venting pipeline, considering the effects of flow field distribution, liquid phase distribution, and hydrogen sulfide distribution. …”
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Autonomous Maneuvering Decision-Making Algorithm for Unmanned Aerial Vehicles Based on Node Clustering and Deep Deterministic Policy Gradient by Xianyong Jing, Fuzhong Cong, Jichuan Huang, Chunyan Tian, Zikang Su

“…Deep deterministic policy gradient (DDPG) is an effective method to solve such problems, but it is found that complex strategies require extensive computation and time in the learning process. To address this issue, we propose a node clustering (NC) method, inspired by grid clustering, integrated into the DDPG algorithm for the learning of complex strategies. …”
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