Beyond the Needle: Innovative Microneedle-Based Transdermal Vaccination by Hiep X. Nguyen

“…Although conventional immunization relies predominantly on hypodermic needle-based administration, this method carries substantial limitations, including needle-associated fear, bloodborne pathogen transmission risks, occupational injuries among healthcare workers, waste management issues, and dependence on trained medical personnel. …”
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HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers by Opeyemi Lateef Usman, Ravie Chandren Muniyandi, Khairuddin Omar, Mazlyfarina Mohamad, Ayoade Akeem Owoade, Morufat Adebola Kareem

“…Although, fully homomorphic encryption (FHE)-based methods have been proposed to maintain data confidentiality and privacy, however, existing FHE deep convolutional neural network (CNN) models still face some issues such as low accuracy, high encryption/decryption latency, energy inefficiency, long feature extraction times, and significant cipher-image expansion. …”
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Ocular Disease Detection Using Fundus Images: A Hybrid Approach of Grad-CAM and Multiscale Retinex Preprocessing With VGG16 Deep Features and Fine KNN Classification by Shreemat Kumar Dash, Kante Satyanarayana, Santi Kumari Behera, Sudarson Jena, Ashoka Kumar Ratha, Prabira Kumar Sethy, Aziz Nanthaamornphong

“…Ethical issues and legal frameworks are also crucial for the safe and fair implementation of AI in medical services. …”
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A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…Rail breaks, which are crucial maintenance issues for the railways, require immediate inspection and maintenance as it can cause severe railway accidents. …”
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Current status and influencing factors of social participation in patients undergoing maintenance haemodialysis: a Cross-sectional study following the international classification... by W. W. Ge, H. L. Zhang, P. Liu, L. X. Yin

“…Healthcare providers should prioritise older, unemployed patients and improve their social participation and quality of life by addressing issues such as fatigue, depression, and enhancing social support.…”
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SCIENTIFIC APPROACHES TO DEFINING, REGULATING AND RESEARCHING ENTITY ACCOUNTS RECEIVABLE by Nicolai JIERI, Violeta CODREAN, Ana Carolina COJOCARU (BĂRBIERU)

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Land Surface Temperature Change Observation and Spatial Area Determination with Satellite Images in the Fire Area by Alperen Cihan, Kübra Cerit

“…Fighting fires is an extremely important issue to prevent the loss of forests. With the developing technology, satellite images have become one of the basic tools for fighting fire over time. …”
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Light weighted privacy protection ViT inference framework based on secret sharing by MA Min, FU Yu, HUANG Kai, JIA Xiaofeng

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El prisma de la desigualdad mundial: una clasificación multidimensional de países by Rogelio Madrueño, Sergio Tezanos

“… This paper provides a broad overview of the issue of rising inequality and builds an international and multidimensional taxonomy of economic inequality. …”
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CLASSIFYING ANDROID MALWARE CATEGORIES BASED ON DYNAMIC FEATURES: AN INTEGRATION OF FEATURE REDUCTION AND SELECTION TECHNIQUES by abdullah alsraratee, Ahmed Al-Azawei

“…Despite efforts to identify and categorize malware in seemingly safe Android apps, addressing this issue is still lacking. Therefore, understanding the unique behaviors of common Android malware categories is essential. …”
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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

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Robustifying Routers Against Input Perturbations for Sparse Mixture-of-Experts Vision Transformers by Masahiro Kada, Ryota Yoshihashi, Satoshi Ikehata, Rei Kawakami, Ikuro Sato

“…However, unlike standard neural networks, sparse mixture-of-experts models inherently exhibit discontinuities in the output space, which may impede the acquisition of appropriate invariance to the input perturbations, leading to a deterioration of model performance for tasks such as classification. To address this issue, we propose Pairwise Router Consistency (PRC) that effectively penalizes the discontinuities occurring under natural deformations of input images. …”
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تصنيف الجامعات الخضراء وتحسين استدامة الحرم الجامعى فى مصر Ranking Green Universities and Improving Campus Sustainability in Egypt by Lobna Agha

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Theoretical aspects of studying financial ecosystems by A. V. Savtsova, A. I. Khakirov

“…The paper presents the results of systematizing the position of Russian scholars on the issue of defining financial ecosystems. The criteria for classifying financial ecosystems are proposed.Conclusion. …”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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The role of psychiatrists in diagnosing conversion disorder: a mixed-methods analysis by Kanaan R, Armstrong D, Wessely S

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Transformation-Based Data Synthesis for Limited Sample Scenario by Chang-Hwa Lee, Sang Wan Lee

“…Our proposal for resolving this issue is to learn a pair-wise transformation function (e.g., spatial or appearance) between given samples. …”
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A Systematic Literature Review on the Application of Machine Learning for Predicting Stunting Prevalence in Indonesia (2020–2024) by Emilda Indrisari, Hidayat Febiansyah, Bambang Adiwinoto

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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…Existing TMD review papers until now offer overviews of applications and algorithms without tackling the specific issues faced with real-world data collection and classification. …”
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