Building renovation Roadmapping: an automated methodology framework for energy efficiency improvement and sustainable renovation planning by Nikolaos Mpouzianas, Stavros Koltsios, Ioannis Pastaltzidis, Nikolaos Katsaros, Georgios Giannopoulos, Panagiotis Klonis, Panagiota Chatzipanagiotidou, Dimosthenis Ioannidis, Dimitrios Tzovaras

“…The proposed methodology provides a promising approach to help building owners and stakeholders with the identification and prioritisation of energy-saving retrofitting actions, thus contributing to the achievement of energy efficiency goals.…”
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CSCP-YOLO: A Lightweight and Efficient Algorithm for Real-Time Steel Surface Defect Detection by Chenglong Wang, Heng Wang, Yimin Jiang, Lei Yu, Xueting Wang

“…To address these issues, a novel model named CSCP-YOLO is proposed. Specifically, the CGSF (C2f-GSConv-FasterNet) module is integrated into the feature extraction network to enhance the identification of small target defects on steel surfaces. …”
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A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification by Goluguri N.V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi

“…Service latency analysis further reveals that the Fog-Edge-assisted environment is more efficient than the Cloud-assisted model for latency reduction. …”
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Identification of Androgen Receptor as a Molecular Docking Target for Survival and Response to Metformin‐Induced Ferroptosis in Liver Cancer by Bin Zhang, Zehao Yu, Jinghui Zhang, Yini Xu, Mengna Zhang, Zhiqi Dai, Jiyun Zhu, Siming Zheng

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Machine learning for efficient CO2 sequestration in cementitious materials: a data-driven method by Yanjie SUN, Chen ZHANG, Yuan-Hao WEI, Haoliang JIN, Peiliang SHEN, Chi Sun POON, He YAN, Xiao-Yong WEI

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A Legendre Neural Network-Based Approach to Multiparameter Identification of Traffic Loads Across the Full Spatiotemporal Domain by He Zhang, Ruihong Shen, Yuhui Zhou, Cun Zhang, Zhicheng Zhang

“…To improve the efficiency and accuracy of loading identification, we propose an efficient multiparameter identification method with a Legendre neural network (LNN) for the monitoring of traffic loads across the full spatiotemporal domain. …”
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Terminal-based method for efficient inter-turn fault localization and severity assessment in transformer windings by K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

“…Our approach leverages a non-iterative subspace identification algorithm to estimate the pole-zero-gain model from the measured Driving Point Impedance (DPI) frequency response, Zf(s), of a faulty transformer. …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…Furthermore, using the current model takes a lot of time and yields results that are not as accurate. …”
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DEVELOPMENT OF RAISEDBED MACHINE FOR SMALL-SCALE FARMERS TO IMPROVE WATER USES EFFICIENCY IN IRRIGATED ECOSYSTEMS by Atef SWELAM, Ahmed EMARA, Tarek FOUDA

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Hybrid Integrated Feature Fusion of Handcrafted and Deep Features for Rice Blast Resistance Identification Using UAV Imagery by Peng Zhang, Zibin Zhou, Huasheng Huang, Yuanzhu Yang, Xiaochun Hu, Jiajun Zhuang, Yu Tang

“…While previous studies have attempted to combine handcrafted and deep features to address problems with data insufficiency and class imbalances, image degradation still prevents the network from learning efficient representations for disease identification. …”
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Semi-Supervised Anomaly Detection for the Identification of Damages in an Aerospace Sandwich Structure Based on Synthetically Generated Strain Data by Florian Forsthuber, Christoph Kralovec, Martin Schagerl

“…The structural health monitoring (SHM) of safety relevant composite components is becoming increasingly relevant as it enables in-service diagnosis and data acquisition capabilities, contributing to the optimization and efficient operation of the overall system and ultimately saving costs and resources. …”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…Using reliably classified RRabs from frequency analysis to train, validate, and test our model, we show that our CNN method reaches accuracies up to 94%. …”
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Lightweight patch-level attention for efficient pig behavior detection: A novel dataset and approach by Shuo Wan, Zhongqiang Huang, Tao Han, Ying Sha

“…These modifications facilitate efficient and accurate identification and classification of five common pig behaviors in farm environments. …”
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An Efficient Process for the Management of the Deterioration and Conservation of Architectural Heritage: The HBIM Project of the Duomo of Molfetta (Italy) by Enrique Nieto-Julián, Silvana Bruno, Juan Moyano

“…Subsequently, it was possible to develop an efficient Scan-to-HBIM workflow, where the Heritage BIM (HBIM) project has fulfilled the function of a database by incorporating and organizing all the information (graphic and non-graphic) to optimize the tasks of auscultation, identification, classification, and quantification and, in turn, facilitating the parametric modeling of unique structures and architectural elements. …”
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Full-dimensional dynamic convolution and progressive learning strategy for strawberry recognition based on YOLOv8 by Liping Bai, Chenglei Xia, Fei Liu, Xing Yang, Tai Zhang

“…This paper addresses these challenges by proposing an advanced recognition model based on YOLOv8, tailored for strawberry identification. …”
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Technical efficiency of Southern African Customs Union ports: a data envelopment analysis approach by Weliswa Matekenya, Bekebu Siyanda

“…This study assesses the technical efficiency of Southern African Customs Union (SACU) ports between 2014 and 2023 using Data Envelopment Analysis (DEA) and Tobit regression models to identify critical determinants of efficiency and inefficiency. …”
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iScene: An interpretable framework with hierarchical edge services for scene risk identification in 6G internet of vehicles by Wuchang Zhong, Siming Wang, Rong Yu

“…The model updata efficiency and privacy preservation are effectively enhanced. …”
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Identification of NAPL Contamination Occurrence States in Low-Permeability Sites Using UNet Segmentation and Electrical Resistivity Tomography by Mengwen Gao, Yu Xiao, Xiaolei Zhang

“…A semantic segmentation model with skip connections and multi-scale feature fusion was developed based on the UNet architecture to achieve automatic identification of contaminated areas. …”
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Deep learning-driven ultrasound-assisted diagnosis: optimizing GallScopeNet for precise identification of biliary atresia by Yupeng Niu, Yupeng Niu, Jingze Li, Xiyuan Xu, Pu Luo, Pu Luo, Pingchuan Liu, Pingchuan Liu, Jian Wang, Jian Wang, Jiong Mu, Jiong Mu

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A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

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