Sensor Infused Quantum CNN for Diabetes Disease Prediction and Diet Recommendation by Jameer Kotwal, Pravin Futane, Gurunath Chavan, Archana Chaudhari, Jithina Jose, Vajid Khan

“…An early diagnosis and efficient treatment are essential to reduce the effects of diabetes. …”
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Enhanced YOLO and Scanning Portal System for Vehicle Component Detection by Feng Ye, Mingzhe Yuan, Chen Luo, Shuo Li, Duotao Pan, Wenhong Wang, Feidao Cao, Diwen Chen

“…In this paper, a novel online detection system is designed to enhance accuracy and operational efficiency in the outbound logistics of automotive components after production. …”
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Class‐specific data augmentation for plant stress classification by Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian

“…A key observation we make in this study is that high‐performing augmentation strategies can be identified in a computationally efficient manner. We fine‐tune only the linear layer of the baseline model with different augmentations, thereby reducing the computational burden associated with training classifiers from scratch for each augmentation policy while achieving exceptional performance. …”
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Protecting digital assets using an ontology based cyber situational awareness system by Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan

“…Together, they form a robust framework for proactive anomaly detection.MethodsThe proposed methodology leverages the Isolation Forest for efficient anomaly identification and autoencoders for feature learning and nonlinear anomaly detection. …”
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InSAR-aided mapping and zonation of deep-seated gravitational slope deformation (DSGSD) in slate slopes by Cheng-Han Lin, Ming-Lang Lin

“…A critical issue for Taiwan’s authority in dealing with hazards associated with DSGSD is the efficient identification of hidden active DSGSD within the wide mountainous area for further detailed investigation/monitoring. …”
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Estimating the time of Highly Pathogenic Avian Influenza virus introduction into United States poultry flocks during the 2022/24 epizootic. by Amos Ssematimba, Sasidhar Malladi, Peter J Bonney, Kaitlyn M St Charles, Holden C Hutchinson, Melissa Schoenbaum, Rosemary Marusak, Marie R Culhane, Carol J Cardona

“…HPAI H5N1 epizootic in commercial poultry on February 8, 2022, the virus has continued to devastate the U.S. poultry sector and the pathogen has since managed to cross over to livestock and a few human cases have also been reported. Efficient outbreak management benefits greatly from timely detection and proper identification of the pathways of virus introduction and spread. …”
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A Ship Emission Monitoring Option for Fuel Sulphur Content Measurement in Complex Environments by Fan Zhou, Xiaojia Lin, Liwei Hou

“…Finally, the wind speed, wind direction, automatic identification system information, plume diffusion model, and FSC results of ship targets around the equipment were correlated. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…Diabetic retinopathy (DR), a severe consequence of diabetes, dramatically enhances the likelihood of experiencing vision impairment. Timely identification is crucial for efficient intervention, as untreated diabetic retinopathy can progress to irreversible vision loss. …”
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Toward sustainable solar energy: Analyzing key parameters in photovoltaic systems by Nugzar Gomidze, Lali Kalandadze, Omar Nakashide, Izolda Jabnidze, Miranda Khajishvili, Jaba Shainidze

“…This Review article offers a thorough investigation of the direct current parameters in photovoltaic panels, aiming to boost their efficiency and cost-effectiveness in production. This study underscores the importance of precise modeling and identification of solar cell parameters to more effectively harness solar energy, thereby underscoring its potential for enhancing energy capacity and environmental conservation. …”
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Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets by FELIPE P.A. EUPHRÁSIO, RAFAEL M. DE ANDRADE, ELCIO H. SHIGUEMORI, LIANGRID L. SILVA, MOISÉS JOSÉ S. FREITAS, NATHAN AUGUSTO Z. XAVIER, ARGEMIRO S.S. SOBRINHO

“…This scenario necessitates the development of suitable methods that integrate appropriate computational techniques, such as convolutional neural networks (CNN) to address the diversity of drone captures and improve accuracy in detection and re-identification. In this paper, a solution for vehicle detection and Re-ID is proposed, combining CNN techniques VGG16, VGG19, ResNet50, InceptionV3 and EfficientNetV2L. …”
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Failure Management Overview in Optical Networks by Sergio Cruzes

“…As networks operate with reduced margins to maximize resource utilization, the risk of hard failures increases, necessitating efficient failure prediction systems and accurate quality of transmission (QoT) estimation. …”
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Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach by V. Alamdari-Palang, Z. Dehghan, M. Kian, S. Zonar, J. Fallahi, M. Sisakht, S. Khajeh, V. Razban

“…Rational, rapid, and precise vaccine design, especially vaccine antigen identification and optimization byin silicomethods of bioinformatics, structural biology, and immunoinformatic is critical to efficient vaccine development against the SARS-CoV-2 virus. …”
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Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

“…Pest infestation is a major cause of crop losses and a significant factor contributing to agricultural economic damage. Accurate identification of pests is therefore critical to ensuring crop safety. …”
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Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan by Alisher Abdullaev

“…The parameters of the developed mathematical model and their adequacy are determined. The developed mathematical model will allow identification of the social and ecological situation of the republic. …”
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Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests. by Mattias Frånberg, Karl Gertow, Anders Hamsten, PROCARDIS consortium, Jens Lagergren, Bengt Sennblad

“…There is, therefore, a need for computationally efficient methods that build on models appropriately capturing interaction. …”
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RISK-ORIENTED MANAGEMENT OF PORTS IN THE IMPLEMENTATION OF CONCESSION PROJECTS by Varvara Piterska, Valentina Samoilovska, Valentin Shakhov, Hiroshi Tanaka

“…The goal of the work is to develop a risk management model for the implementation of concession projects in the port to improve the efficiency of port activities and ensure the competitiveness of port services. …”
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Copper Nodule Defect Detection in Industrial Processes Using Deep Learning by Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing

“…At present, the detection of cathode copper plate nodules is performed by manual identification. In order to address the issues with manual convex nodule identification on the surface of industrial cathode copper plates in terms of low accuracy, high effort, and low efficiency in the manufacturing process, a lightweight YOLOv5 model combined with the BiFormer attention mechanism is proposed in this paper. …”
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Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining by Gan Liu, Kai Lu, Saiqi Pi

“…Named Entity Recognition (NER) technology is utilized for the rapid identification of threat entities and their relationships within cyber threat intelligence, enabling security researchers to be promptly informed of the occurrence of cyber threats, thereby enhancing the efficiency of security defense and analysis. …”
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Deep Learning-Assisted Diagnostic System: Implant Brand Detection Using Improved IB-YOLOv10 in Periapical Radiographs by Yuan-Jin Lin, Shih-Lun Chen, Ya-Cheng Lu, Xu-Ming Lin, Yi-Cheng Mao, Ming-Yi Chen, Chao-Shun Yang, Tsung-Yi Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu, Chiung-An Chen

“…<b>Background and Objectives</b>: Implant brand identification is critical in modern dental clinical diagnostics. …”
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Prompt Framework for Extracting Scale-Related Knowledge Entities from Chinese Medical Literature: Development and Evaluation Study by Jie Hao, Zhenli Chen, Qinglong Peng, Liang Zhao, Wanqing Zhao, Shan Cong, Junlian Li, Jiao Li, Qing Qian, Haixia Sun

“…Under low-resource scenarios (eg, 1% of the training data), MedScaleNER outperformed all tested locally fine-tuned models. Ablation studies highlighted the importance of demonstration retrieval and self-verification in improving model reliability. …”
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