EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning Methods by Supatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong

“…Neuropeptides (NPs) are a diverse group of signaling molecules involved in regulating key physiological processes such as pain perception, stress response, mood, appetite, and circadian rhythms. …”
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Comparative Analysis of Machine Learning Techniques for Fault Diagnosis of Rolling Element Bearing with Wear Defects by Devendra Sahu, Ritesh Kumar Dewangan, Surendra Pal Singh Matharu

“…This research addresses these challenges by employing advanced signal processing techniques and machine learning algorithms. …”
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Pioneering CPMI framework for accurate state-of-health assessment in Lithium ion battery power management using FBG sensors by Taher M. Ghazal, Ali Q. Saeed, Mosleh M. Abualhaj, Taj-Aldeen Naser Abdali, Munir Ahmad

“…The proposed system employs a support vector-based classification algorithm that categorizes operational states based on FBG sensor data streams, identifying deviations from optimal temperature and voltage ranges. …”
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Automated Parkinson’s Disease Diagnosis Using Decomposition Techniques and Deep Learning for Accurate Gait Analysis by S. Jeba Priya, C. Anand Deva Durai, M. S. P. Subathra, S. Thomas George, Andrew Jeyabose

“…The successful application of these methods highlights the importance of advanced signal processing techniques in improving the detection and management of neurological disorders.…”
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Genome editing in mouse spermatogonial stem cell lines targeting the Tex15 gene using CRISPR/Cas9 by Suheyla Yeşilbostan, Suheyla Yeşilbostan, Mustafa Yenal Akkurt, Sinan Özkavukçu, Sinan Özkavukçu, Oǧuz Kul, Bengi Çınar

“…CRISPR/Cas9-mediated DNA endonuclease technology has been extensively utilized to introduce targeted genomic mutations for investigating biological processes across various cell types and organisms. …”
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CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints by Amirhosein Mohammadisabet, Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…Eight CNN architectures, including DenseNet121, MobileNetV2, and Xception, were compared alongside traditional classifiers like support vector machines (SVMs) and random forest. DenseNet121 achieved the highest accuracy (90.2%), leveraging its superior feature extraction and generalization capabilities, while MobileNetV2 balanced accuracy (83.57%) with computational efficiency, processing images in 0.07 s, making it ideal for real-time deployment. …”
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Whole Genome Sequencing Reveals Clade‐Specific Genetic Variation in Blacklegged Ticks by Jacob Cassens, Adela S. Oliva Chávez, Danielle M. Tufts, Jianmin Zhong, Christopher Faulk, Jonathan D. Oliver

“…ABSTRACT Ticks and tick‐borne pathogens represent the greatest vector‐borne disease threat in the United States. …”
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Drought monitoring of large lakes in Iraq using remote sensing images and normalized difference water index (NDWI) by Mohammed R. Mahmood, Baydaa Ismail Abrahem, Huda J. Jumaah, Hayder A. Alalwan, Malik M. Mohammed

“…Furthermore, Support Vector Machine (SVM) method was applied on Sentinel-2 images for 2024 to recognize the current changes in the three lakes. …”
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A rolling bearing fault diagnosis method based on GADF-CWT-GCNN by ZHANG Xiaoli, LUO Xin, LI Min, LIANG Wang, WANG Fangzhen

“…The results show that the generalization ability of the data processing method and the model built in this paper in the small-sample environment is much higher than that of other network models such as the small vector machine and the 1D-CNN. …”
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Resolution enhancement of scanning electron micrographs using artificial intelligence by T. Reclik, S. Medghalchi, P. Schumacher, M.A. Wollenweber, T. Al-Samman, S. Korte-Kerzel, U. Kerzel

“…Suitable reference images are selected using vector embeddings and processed by a texture-transformer network. …”
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Missing Data Interpolation of Alzheimer’s Disease Based on Column-by-Column Mixed Mode by Shi-di Miao, Si-qi Li, Xu-yang Zheng, Rui-tao Wang, Jing Li, Si-si Ding, Jun-feng Ma

“…In addition, in the processing of missing data, a combination of deletion method and interpolation method is adopted with reference to expert knowledge. …”
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry by Yangguang Han, Qifeng Li, Pengpeng Sun, Xiangyun Ma, Yunpeng Yang, Ning Zhang, Jingwen Feng, Yu Sa

“…For comparison, Support Vector Machines (SVM) and Random Forests (RF) based on Grey-Level Co-occurrence Matrix (GLCM) features were employed. …”
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A genetic algorithm to generate maximally orthogonal frames in complex space by Sebastián Roca-Jerat, Juan Román-Roche

“…A frame is a generalization of a basis of a vector space to a redundant overspanning set whose vectors are linearly dependent. …”
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Phage therapy in antibiotic resistant pneumonia: immunomodulation or redistribution? by S. S. Bochkareva, I. M. Fedorova, O. N. Ershova, S. I. Koteleva, I. V. Kapustin, M. S. Blyakher, L. I. Novikova, A. V. Aleshkin, А. М. Vorobev

“…Statistical processing of the results was carried out using the Statistica 6 program according to the nonparametric Mann-Whitney U-test. …”
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Hidden-like Attractors in a Class of Discontinuous Dynamical Systems by Hany A. Hosham, Mashael A. Aljohani, Eman D. Abou Elela, Nada A. Almuallem, Thoraya N. Alharthi

“…The proposed system evolves by adding a nonlinear function to one of the vector fields while still preserving the condition that equilibrium points do not exist in the whole system. …”
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Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach by Qiulin Li, Jinchao He, Dewei Mu, Hao Liu, Shicheng Li

“…Dissolved oxygen (DO) is a vital water quality index influencing biological processes in aquatic environments. Accurate modeling of DO levels is crucial for maintaining ecosystem health and managing freshwater resources. …”
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Cellular and molecular aspects of degenerative disc disease and potential strategies of biological therapy by A. V. Novikova, N. G. Pravdyuk, N. A. Shostak

“…A key point in IVD dehydration is that catabolic processes predominate over anabolic ones due to changed gene expression in the corresponding biologically active molecules, disc angiogenesis and neoinnervation of the structures of the fibrous ring and pulpous nucleus. …”
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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…., Random Forest, Naive Bayes, and Support Vector Machine, alongside the GPT-4 model to benchmark their effectiveness for sentiment analysis. …”
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THE RENEWAL AND UPGRADE OF LEGAL REGULATION OF TELECOMMUNICATIONS IN THE EU by M. B. Kasenova

“…The choice of the strategic vector of the socio-economic development of modern states is focused on the “digital economy”, and telecommunications offer critical economic importance and commercial value. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

“…Immature oocytes were recorded as they passed through a custom-designed microfluidic channel under controlled flow. Using image processing, two biomechanical features—Cortical Tension (CT) and Deformation Index (DI)—were extracted. …”
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