Robust Face Recognition Using Deep Learning and Ensemble Classification by Pavani Chitrapu, Mahesh Kumar Morampudi, Hemantha Kumar Kalluri

“…Existing methods often struggle to strike a balance between accuracy, computational efficiency, and robustness. Deep learning has become popular for automatically learning features through convolution layers. …”
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Deep-learning based colorectal cancer pathological analysis with hyperspectral light field microscopy by Hao Sheng, Yingying Zhang, Ruixuan Cong, Shuai Wang, Da Yang, Zhenglong Cui, Xuefei Huang, Rongshan Chen, Jiapeng Liu, Wei Ke, Weifeng Lv

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Abdominal volume index is associated with higher oxidized LDL, high blood pressure and lower HDL among obese adults by Mansuor Ahmed Alanazi, Khaled Alshehri, Faisal H. Alerwy, Tariq Alrasheed, Hassan Fareed M. Lahza, Nisreen Khalid Aref Albezrah, Yazeed Ibrahim Alghabban, Mahfoudh Almusali Mohammed Abdulghani

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Deep learning approach for screening neonatal cerebral lesions on ultrasound in China by Zhouqin Lin, Haoming Zhang, Xingxing Duan, Yan Bai, Jian Wang, Qianhong Liang, Jingran Zhou, Fusui Xie, Zhen Shentu, Ruobing Huang, Yayan Chen, Hongkui Yu, Zongjie Weng, Dong Ni, Lei Liu, Luyao Zhou

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A high‐resolution model of the grapevine leaf morphospace predicts synthetic leaves by Daniel H. Chitwood, Efrain Torres‐Lomas, Ebi S. Hadi, Wolfgang L. G. Peterson, Mirjam F. Fischer, Sydney E. Rogers, Chuan He, Michael G. F. Acierno, Shintaro Azumaya, Seth Wayne Benjamin, Devendra Prasad Chalise, Ellice E. Chess, Alex J. Engelsma, Qiuyi Fu, Jirapa Jaikham, Bridget M. Knight, Nikita S. Kodjak, Adazsofia Lengyel, Brenda L. Muñoz, Justin T. Patterson, Sundara I. Rincon, Francis L. Schumann, Yujie Shi, Charlie C. Smith, Mallory K. St. Clair, Carly S. Sweeney, Patrick Whitaker, James Wu, Luis Diaz‐Garcia

“…Summary Grapevine leaves are a model morphometric system. Sampling over 10,000 leaves using dozens of landmarks, the genetic, developmental, and environmental basis of leaf shape has been studied and a morphospace for the genus Vitis predicted. …”
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A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops by C. Cammalleri, M.C. Anderson, N.E. Bambach, A.J. McElrone, K. Knipper, M.C. Roby, G. Ciraolo, D. DeCaro, M. Ippolito, C. Corbari, A. Ceppi, M. Mancini, W.P. Kustas

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Developing an Automated Model-Based Software Testing Tool From the Design Phase by Rasha Gh. Alsarraj, Atica M. Altaie, Esra Zuhair Majeed

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Automated Analysis of Fluorescence Microscopy Images to Identify Protein-Protein Interactions by S. Venkatraman, M. J. Doktycz, H. Qi, J. L. Morrell-Falvey

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Blockchain-Based Contact Tracing and Information Sharing Model for COVID-19 Pandemic by Arwa Mashat, Aliaa M. Alabdali

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Automated Classification Model for Elementary Mathematics Diagnostic Assessment Data Based on TF-IDF and XGBoost by Seonghyun Park, Seungmin Oh, Woncheol Park

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Deep Learning for Weed Detection and Segmentation in Agricultural Crops Using Images Captured by an Unmanned Aerial Vehicle by Josef Augusto Oberdan Souza Silva, Vilson Soares de Siqueira, Marcio Mesquita, Luís Sérgio Rodrigues Vale, Thiago do Nascimento Borges Marques, Jhon Lennon Bezerra da Silva, Marcos Vinícius da Silva, Lorena Nunes Lacerda, José Francisco de Oliveira-Júnior, João Luís Mendes Pedroso de Lima, Henrique Fonseca Elias de Oliveira

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Investigating the hyperparameter space of deep neural network models for reaction coordinates by Kyohei Kawashima, Takumi Sato, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi, Toshifumi Mori

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Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT by Matyas Lukacs, Fruzsina Toth, Roland Horvath, Gyula Solymos, Boglárka Alpár, Peter Varga, Istvan Kertesz, Zoltan Gillay, Laszlo Baranyai, Jozsef Felfoldi, Quang D. Nguyen, Zoltan Kovacs, Laszlo Friedrich

“…Each element of the proposed system is discussed in detail individually and as a part of an integrated system, capable of automatizing most production flows while maintaining complete transparency and compliance with authority requirements. …”
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Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques by Vanita Agrawal, MVV Prasad Kantipudi, Jayant Jagtap

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The class project of cyber-driver by P. S. Sorokoumov

“…Besides, robotic perception can imitate biological systems more closely. Such biologically-inspired perception models give structure to computer vision systems and allow developing these systems quicker. …”
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An Activity Recognition-Assistance Algorithm Based on Hybrid Semantic Model in Smart Home by Kun Guo, Yonghua Li, Yueming Lu, Xiang Sun, Siye Wang, Ruohan Cao

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YUNet_LLMClaimReport: An Enhanced Automobile Insurance Fraud Detection and Automated Claim Report Generation Using Large Language Models by P. Anand Kumar, S. Sountharrajan

“…Weaknesses are single-run measures because of computational limitations and factual inconsistencies in reports (10%). …”
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Automated Root Cause Analysis of Network Failures in IP/MPLS Network Using Machine Learning and Case-Based Reasoning by Tikumporn Wankvar, Apichon Witayangkurn

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Bioengineering an AI-augmented platform for remote mental health interventions by Ju Yu Wu, Yu-Jie Chen, Yen-Feng Lin, Congo Tak Shing Ching, Hui-Min David Wang, Yi-Chung Chen, Yang-Chou Juan, Lun-De Liao

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Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

“…Accordingly, the monitoring of computers and networks is too complicated for network administrators. …”
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