Using fishery-related data, scientific expertise, and machine learning to improve marine habitat mapping in northeastern Mediterranean waters by Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, Vassiliki Vassilopoulou

“…Two machine-learning algorithms, i.e., random forest classifier (RFC) and gradient boosting classifier, were trained on the entire national-scale dataset and subsequently applied to assess their performance in predicting habitat types in the Saronikos Gulf (regional scale) using various environmental factors as predictors. …”
Get full text

Analysis of the use of artificial intelligence systems for the development of physical exercise programs during rehabilitation of nephrology patients by V.V. Bezruk, D.D. Ivanov, I.D. Shkrobanets, M.A. Ivanchuk, P.R. Ivanchuk, I.S. Seman-Minko, O.I. Pervozvanska

“…The global healthcare industry is one of the main planes for practical application of modern developments in the field of AI thanks to machine learning algorithms that provide new opportunities for solving the most complex problems of medicine and pharmacy. …”
Get full text

HUMAN RIGHTS: PHILOSOPHICAL AND LEGAL ANALYSIS by ALBOV A.P.

“…Given that all doctrines note the importance of these rights for the formation of the political climate and quality of life, and their violation inevitably leads either to the stagnation of political life in the state, or is a prerequisite for the formation of destructive movements of various kinds; that therefore human rights, along with other socio-political algorithms, can claim the leading role in the formation of legal policy both within the state itself and in international relations; however, this does not mean that these rights can be considered unconditional and absolute, they directly depend on the various cultural, religious, moral values of a particular society, and that therefore they can be defined rather as a kind of sustainable agreement.…”
Get full text

A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases by Veerayuth Kittichai, Morakot Kaewthamasorn, Apinya Arnuphaprasert, Rangsan Jomtarak, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang

“…Intra- and inter-rater variation is frequently imposed on by technicians who are underqualified and unexperienced. Alternatively, algorithms could support local employees in tracking disease transmission and quick action, especially in Thailand where this cattle disease is common. …”
Get full text

Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness by Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad, Muhammad Moinuddin Qazi Abro, Khalid Zaman

“…Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention. …”
Get full text

Decentralized energy trading in smart grid using secured post quantum encryption by S. Sofana Reka, Anantharaman Prasad, Prakash Venugopal, Fawaaz Sammil, Visakh Pradeep, Swaroop S Kaimal, Manoj Kumar Rajagopal

“…We explore post-quantum cryptographic techniques, particularly lattice-based algorithms due to its compact signature sizes and strong security capability for the future-proof blockchain enabled smart grids. …”
Get full text

Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches by Hamed Ghaderi, Nasibe Alipour, Hossein Safari

“…We conclude that these machine learning algorithms are helpful tools for classifying galaxy images. …”
Get full text

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

“…Due to the sensitive nature of these datasets, secure deep learning (DL) algorithms are essential. 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. …”
Get full text

Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study. by Shahrokh Mousavi, Zahrasadat Jalalian, Sima Afrashteh, Akram Farhadi, Iraj Nabipour, Bagher Larijani

“…We aimed to develop machine learning-based models using multiple algorithms to predict and identify the predictors of angina pectoris in an elderly community-dwelling population.…”
Get full text

Monitoring the antibiotic resistance in the intensive care unit of a multidisciplinary hospital by V. Yu. Zemko, V. K. Okulich, A. M. Dzyadz’ko

“…It is necessary to monitor the resistance of common microorganisms to certain antibiotics in order to develop algorithms for rational antibacterial treatment in each hospital.…”
Get full text

Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listeni... by Jean-François Jeanne, Joelle Malaab, Antoine Vanhove, Florian Mourey, Manissa Talmatkadi, Stéphane Schück

“…Data cleaning and filtering were done using natural language processing methods and specific algorithms. Biterm topic modeling was applied to identify the most frequently discussed topics. …”
Get full text

Identification and Experimental Validation of Biomarkers Related to MiR-125a-5p in Chronic Obstructive Pulmonary Disease by Jing X, Li Y

“…Then, the target genes of miR-125a-5p obtained from miRWalk database were intersected with DEGs and module genes, followed by identification of biomarkers through SVM-RFE algorithms. Moreover, the gene set enrichment analysis, immune infiltration analysis, construction of regulatory network, single-cell analysis and Mendelian randomization (MR) analysis were performed. …”
Get full text

Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets by Pan Liu, Chunying Ren, Zongming Wang, Mingming Jia

“…This study demonstrates that the UTSS framework incorporating ICESat-2 LiDAR sampling and tree species stratification strategies provides a promising approach to estimating AGB by integrating freely accessible datasets, algorithms, and platforms.…”
Get full text

Mental health promotion in disasters: exploring the synergy of artificial intelligence, spirituality, and psychology: a SWOT analysis by Rasoul Fattahipour, Simintaj Sharififar, Fatemeh Teymouri, Maryam Azizi, Milad Ahmadi Marzaleh

“…In contrast, threats such as data privacy risks, algorithmic biases, and ethical concerns around informed consent and over-standardization of care are also addressed. …”
Get full text

Diagnostic Possibilities of Optical Coherent Tomography of the Retina during Compression in the Chiasm-Sellar Region by N. A. Gavrilova, E. E. Ioyleva, N. S. Gadzhieva, O. E. Tishchenko, N. Y. Kutrovskaya, A. V. Kuz’mina, A. V. Zinov’eva

“…In this regard, it is necessary to conduct further studies that will reveal the informative OСT-diagnostic criteria for compression in the chiasm-sellar region, develop diagnostic algorithms taking into account the type of tumor, the presence of concomitant pathology. …”
Get full text

Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis by Dan Liu, Tingting Li, Li Du, Jianqiao Zheng, Yujie Huang, Weiyi Zhang

“…Nevertheless, the diagnostic performance of AI algorithms for difficult airway assessment remains unclear due to the small sample sizes, insufficient image acquisition standards and poor predictive accuracies. …”
Get full text

Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation – Data from the FNIH... by Felix Eckstein, Akshay S. Chaudhari, David J. Hunter, Wolfgang Wirth

“…Design: Convolutional neural network (CNN) algorithms were trained on 86 radiographically osteoarthritic knees with manual expert segmentation of the medial and lateral femorotibial cartilages (coronal FLASH and sagittal DESS). …”
Get full text

Hibridación de sistemas borrosos para el modelado y control by José Manuel Andújar, Antonio Javier Barragán

“…Palabras clave: Algoritmos bioinspirados, control borroso, control inteligente, modelado borroso, redes neuronales, sistemas borrosos, sistemas híbridos, Keywords: Bioinspired algorithms fuzzy control fuzzy modeling fuzzy systems hybrid systems intelligent control neuronal networks…”
Get full text

Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

“…The ANN-MOGA (multi-objective genetic algorithms) predicted higher experimental response values compared to the response surface methodology. …”
Get full text

Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signals by Bangbei Tang, Bangbei Tang, Yan Li, Yingzhang Wu, Yilun Li, Qizong Yue

“…Time-frequency domain features, including mean, variance, skewness, kurtosis, root mean square, and power spectral density, were extracted and analyzed using classification algorithms such as Back Propagation Neural Networks (BPNN), K-Nearest Neighbors (KNN), and Support Vector Machines (SVM), enabling precise identification of varying levels of tension and anger. …”
Get full text