3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…Abstract The classification of intraoral teeth structures is a critical component in modern dental analysis and forensic dentistry. …”
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ResSAXU-Net for multimodal brain tumor segmentation from brain MRI by Zheyuan Xiong

“…Combining dice loss and cross-entropy loss, the fusion loss function is introduced to deal with issues such as network convergence and data imbalance, and then Ressaxu-Net performance was simulated using the Brats2018 and Brats2019 datasets study, examining how the model performs in brain tumour classification. …”
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Ecological Zonation As A Tool For Restoration Of Degraded Forests In Northern Mongolia by Antonín Kusbach, Tadeáš Štěrba, Jan Šebesta, Tomáš Mikita, Enkhtuya Bazarradnaa, Sarantuya Dambadarjaa, Martin Smola

“…Our analysis included clustering, ordination, classification, and ANOVA techniques. Based on the complex data set, we identified three geo-vegetation zones: forest-steppe, montane and dark taiga zone. …”
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Scientific review of protocols to enhance informativeness of global health clinical trials by B. Burford, T. Norman, S. Dolley

“…The median number of recommendations per protocol was 28 (range: 13 to 52), covering a wide range of issues related to clinical trial design, implementation, analysis, and impact. …”
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ON THE QUESTION OF THE PRINCIPLES OF FAMILY LAW by NESMEIANOVA I.A.

“…The main purpose of the article is to consider certain issues of a publiclegal and private-legal nature, proving the expediency of changing fundamental provisions in family legislation aimed at regulating family legal relations. …”
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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…The results demonstrate that our method achieves an impressive 99.71% accuracy in binary classification and 99.02% in multi-class classification on the NF-UNSW-NB15-v2 dataset, while for the CICIDS2017 dataset, it reaches 99.93% in binary classification and 99.13% in multi-class classification, significantly outperforming existing models. …”
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Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment by Emilio Rios-Ochoa, Jesus Arturo Perez-Diaz, Enrique Garcia-Ceja, Gerardo Rodriguez-Hernandez

“…For instance, most studies focus solely on binary classification, overlook dataset quality issues, and rarely evaluate model performance in practical deployment environments. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…Air pollution is a vital environmental and public health issue responsible for millions of early deaths worldwide every year. …”
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MODERN FAMILY VALUES AND THEIR FEATURES by NESMEIANOVA I.A.

“…The problems under consideration include the very concept of family values, as well as the classification of family values. In our opinion, it is advisable to rely on the classification of A.I. …”
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A systematic review of validity and reliability assessment of measuring Spasticity Evaluation Tool and Wheelchair Skills Tests at the level of international classification of funct... by Zahra Hosseinzadeh, Mohammad karimizadeh Ardakani, Hooman Minoonejad

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Slope classification of Slovenia and selected field survey results from the Slovenian Motorway Project: A dataset for studying the influence of geomorphic processes on the field su... by Luka Gruškovnjak

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INFANT ASTHMA: KEY PRINCIPLES OF CONTROL ATTAINMENT IN THE MODERN STAGE by E.A. Vishneva, L. S. Namazova-Baranova, A. A. Alekseeva, K. E. Efendieva, Yu. G. Levina, N. I. Voznesenskaya, L. R. Selimzyanova, A. Yu. Tomilova, E. A. Promyslova

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The use of Sanskrit, an ancient language, as a tool to evaluate cleft palate speech problems by Gajiwala Kalpesh

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Intelligent Computed Tomography-based Detection Method for Lithium Battery Mylar Film Damage by Menglei LI, Dimeng XIA, Guoyang LIN, Shusen ZHAO

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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

“…The pervasive issue of fake news spreading rapidly on online platforms. causing a concerning dissemination of misinformation. …”
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A conditional opposition-based particle swarm optimisation for feature selection by Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili

“…Because of the existence of irrelevant, redundant, and noisy attributes in large datasets, the accuracy of a classification model has degraded. Hence, feature selection is a necessary pre-processing stage to select the important features that may considerably increase the efficiency of underlying classification algorithms. …”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

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Is chronic venous ulcer curable? A sample survey of a plastic surgeon by V Alamelu

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A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification by Ghadah Naif Alwakid, Mamoona Humayun, Walaa Gouda

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Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy by Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen

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