A New Support Vector Machine Based on Convolution Product by Wei-Chang Yeh, Yunzhi Jiang, Shi-Yi Tan, Chih-Yen Yeh

“…., convolutional neural networks (CNNs)) are the two most famous algorithms in small and big data, respectively. Nonetheless, smaller datasets may be very important, costly, and not easy to obtain in a short time. …”
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Fishing for biomarkers: analyzing mass spectrometry data with the new ClinProTools™ software by Ralf Ketterlinus, Sen-Yung Hsieh, Shih-Hua Teng, Helen Lee, Wolfgang Pusch

“…Additionally, it is necessary to apply statistical analysis and pattern matching algorithms to attain validated signal patterns that may allow for later applications in sample classification. …”
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Deep-Learning-Based Cognitive Assistance Embedded Systems for People with Visual Impairment by Huu-Huy Ngo, Hung Linh Le, Feng-Cheng Lin

“…For people with vision impairment, various daily tasks, such as independent navigation, information access, and context awareness, may be challenging. Although several smart devices have been developed to assist blind people, most of these devices focus exclusively on navigation assistance and obstacle avoidance. …”
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New Design of Smooth PSO-IPF Navigator With Kinematic Constraints by Mahsa Mohaghegh, Hedieh Jafarpourdavatgar, Samaneh-Alsadat Saeedinia

“…Partial Swarm Optimization (PSO) and Potential Field (PF) are notable path-planning techniques, however, they may struggle to produce smooth paths due to their inherent algorithms, potentially leading to suboptimal robot motion and increased energy consumption. …”
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ROSA: a knowledge-based solution for robot self-adaptation by Gustavo Rezende Silva, Juliane Päßler, S. Lizeth Tapia Tarifa, Einar Broch Johnsen, Carlos Hernández Corbato

“…This creates challenges in designing software architectures and task decision-making algorithms, as different contexts may require distinct task logic and architectural configurations. …”
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Early Detection of Parkinson’s Disease Using AI Techniques and Image Analysis by Marilena Ianculescu, Corina Petean, Virginia Sandulescu, Adriana Alexandru, Ana-Mihaela Vasilevschi

“…The most innovative aspects of the presented approaches are related to the employed feature extraction techniques that convert hand-drawn spirals into a frequency spectra, so that frequency features may be extracted and utilized as inputs for various classification algorithms. …”
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Automatic evaluation and optimization of map registration based on feature overlap area ratio by Jiqiu Deng, Xiaoyan Chen, Dong Zhang

“…Due to the differences in methods for collecting and processing data and map expression forms, two maps from different sources may have deviations in some objective evaluation metrics and fail to reflect the registration accuracy correctly, even though there are no geographic deviations. …”
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Circulating MicroRNAs as Novel Biomarkers in Risk Assessment and Prognosis of Coronary Artery Disease by Chiara Vavassori, Eleonora Cipriani, Gualtiero Ivanoe Colombo

“…Nevertheless, available cardiovascular risk prediction algorithms still miss a significant portion of individuals at-risk. …”
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Association of reproductive characteristics with osteoporosis and FRAX scores in Chinese postmenopausal women: a QCT-based cross-sectional study by Yang You, Rongkun Chang, Wenlong Qiu, Jie Cheng, Danyu Zhao, Yinbin Wang, Ruopeng Mai, Feng Chang, Lijun Cai

“…Incorporating these reproductive variables into the FRAX algorithms may improve the accuracy of identifying high-risk individuals.…”
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Assistive Control of a Hip Exoskeleton Robot, using a DQN-Adjusted Delayed Output Feedback Method by Hadi Kalani, S. Mohammad Tahamipour-Z, Iman Kardan, Alireza Akbarzadeh

“…A major challenge in the development of an assistive exoskeleton robot is to design appropriate control algorithms. These algorithms should be trajectory-independent and require a minimum number of sensors to work in any intended motion and to be easily implementable. …”
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Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…In this study, MLP obtained 90% accuracy and outperformed the other models in classifying the thermal images, either as sober or showing signs of alcohol consumption. The trained models may be embedded in advanced drunk detection systems as part of an in-vehicle safety application.…”
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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…Traditional classification algorithms usually assume that all samples in a dataset contribute equally to the training of a machine learning model, which is not always the case. …”
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METHOD OF SETTING THE RULES OF MATRIX CONFIGURATIONS ELEMENTS INDEXING by I. P. Kadiev1, P. A. Kadiev

“…Permutations a predetermined environment indexing element may be considered as basic combinatorial configuration with which the reading of data by various algorithms can be arranged: in rows, in columns, in a deterministic or random routes that provides an additional increase in resistance disclosure.…”
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Genetic copy number variation and general cognitive ability. by Andrew K MacLeod, Gail Davies, Antony Payton, Albert Tenesa, Sarah E Harris, David Liewald, Xiayi Ke, Michelle Luciano, Lorna M Lopez, Alan J Gow, Janie Corley, Paul Redmond, Geraldine McNeill, Andrew Pickles, William Ollier, Michael Horan, John M Starr, Neil Pendleton, Pippa A Thomson, David J Porteous, Ian J Deary

“…Rare chromosomal deletions and duplications are associated with these disorders, so it has been suggested that these deletions or duplications may be associated with differences in intelligence. …”
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The principles of oncological alertness at the outpatient therapeutic stage by A. S. Sycheva, A. L. Kebina, A. V. Nosova, A. L. Vertkin

“…In such a situation, the main task of the therapist and general practitioner is to identify suspicious symptoms of malignant neoplasms using an algorithmized approach and refer the patient to a specialized institution.…”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…In our study, we have implemented Process Mining Environment in OpenAI gym format aimed at enhancing the development of reinforcement learning algorithms for process optimization tasks. The capabilities of these approaches of reinforcement learning using the Q-learning and Deep Q-network (DQN) techniques to identify the optimal path. …”
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DEVELOPMENT OF A GRAVITATIONAL AND PENDULUM SOLAR TRACKER FOR STANDALONE PHOTOVOLTAIC PANELS by Jorge A. Wissmann, Carlos E. C. Nogueira, Marcelo M. M. Zampiva, Jair A. C. Siqueira, Doglas Bassegio

“…In remote areas without electrical grid access, motorized systems may not be feasible. A tracking prototype was developed whose structure is classified as chronological due to its fixed rotation, manual as it requires daily adjustment, single-axis azimuthal, and "analog" as it lacks motors, sensors, or algorithms. …”
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An Overview of Artificial Intelligence and Medical Imaging Technologies by Furkan Atlan, İhsan Pençe

“…Despite the development in medical imaging technologies and the increasing accuracy rate of disease diagnosis, accurate interpretation of these images by experts is time consuming, and unfavorable conditions may arise during treatment. For this reason, automated diagnostic systems are created using artificial intelligence, and these systems are improving gradually, owing to the evolution of several technologies and algorithms. …”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

“…This shift is motivated by the structural vulnerabilities that quantum algorithms may exploit in traditional formulations. …”
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Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph by Tingpeng Li, Lei Wang, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu

“…However, real-world data for causal discovery is scarce and expensive, leading researchers to rely on synthetic datasets, which may not accurately reflect real-world performance. …”
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