Physiological Signals as Predictors of Mental Workload: Evaluating Single Classifier and Ensemble Learning Models by Nailul Izzah, Auditya Purwandini Sutarto, Ade Hendi, Maslakhatul Ainiyah, Muhammad Nubli bin Abdul Wahab

“… With a growing emphasis on cognitive processing in occupational tasks and the prevalence of wearable sensing devices, understanding and managing mental workload has broad implications for safety, efficiency, and well-being. …”
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First Report on the Molecular Detection and Characterization of <i>Rickettsia felis</i> in Laelapidae (Acari: Mesostigmata) Mites in Malaysia by Hiryahafira Mohamad Tahir, Faraliana Che Lah Ernieenor, Suhaili Zainal Abidin, Vishalani Vishnu Narainasamy, Mariana Ahamad

“…These pathogens are typically transmitted by arthropod vectors, such as ticks, mesostigmatid mites, and fleas. …”
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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework by Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku

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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…We used a dataset with 13 primary characteristics to carry out the research. Support vector machine and logistic regression algorithms are used to process the datasets, and the latter displays the highest accuracy in predicting coronary disease. …”
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Shaping the appearance of a long-range aircraft at the stage of developing a technical proposal by A. A. Gorbunov, A. D. Pripadchev

“…Objective. The process of designing a long-range aircraft, in particular at the preliminary design stage, involves comparing and analyzing a large number of design alternatives with specified performance criteria. …”
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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

“…This method aims to improve on the traditional manual process employed by radiologists, which could be described as time and effort consumption rather than the exposure of the interpretations. …”
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Implementing Holographic Reduced Representations for Spiking Neural Networks by Vidura Sumanasena, Daswin de Silva, Evgeny Osipov, Dmitri A. Rachkovskij, Ross W. Gayler

“…Drawing on the distributed vector representation of symbolic and numerical data structures and robust dual interface with diverse operational primitives, Vector Symbolic Architectures (VSA) have been positioned as a suitable candidate to address this middle-layer void. …”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Sub-surface soil hydrological characterization is one of the challenging tasks for engineers and soil scientists, especially the complex hydrological processes that combine key variables such as soil moisture, matric suction, and soil temperature. …”
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Forecasting inflation based on the consumer price index, taking into account the impact of seasonal factors by A. K. Sapova

“…It is important for the Central Bank and Government in decision-making process. There is a strong need for high-quality analysis and accurate forecast of this index. …”
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On the Development of a Sense and Avoid System for Small Fixed-Wing UAV by Bruno M. B. Pedro, André C. Marta

“…A collision avoidance algorithm utilizing the Vector Field Histogram method was implemented to process sensor data and generate real-time trajectory corrections. …”
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Dynamic Analysis and Scale Optimization of Prefabricated Building Wall Panel Installation by Jiang Mingyang, Zhang Lin, Liu Hongbin, Sima Mingyang, Yu Ningtao

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Enhancing Brain Tumor Detection on MRI Images Using an Innovative VGG-19 Model-Based Approach by Burhan Ergen, Abdullah Şener

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Biochemical and physiological characterization of Aedes aegypti midgut chymotrypsin by Abigail G. Ramirez, Jun Isoe, Mateus Sá Magalhães Serafim, Daniel Fong, My Anh Le, James T. Nguyen, Olive E. Burata, Rachael M. Lucero, Rebecca K. Spangler, Alberto A. Rascón

“…Thus, elucidating the activity and specific roles of all midgut proteases will help understand the complexity of the digestion process and help validate them as potential targets for the development of a new vector control strategy. …”
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Wind Turbine Blade Fault Detection Method Based on TROA-SVM by Zhuo Lei, Haijun Lin, Xudong Tang, Yong Xiong, He Wen

“…The process begins with the careful preprocessing of raw noise signals collected from wind turbines during actual operational conditions. …”
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A Study on Denoising Autoencoder Noise Selection for Improving the Fault Diagnosis Rate of Vibration Time Series Data by Jun-gyo Jang, Soon-sup Lee, Se-Yun Hwang, Jae-chul Lee

“…The fault diagnosis rates were calculated using One-Class Support Vector Machines (OC-SVM) for performance comparison. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…This integration simplifies the model by reducing the number of parameters needing adjustment, making it particularly effective for handling imbalanced datasets through an efficient training process; 2) Theoretical analysis demonstrates that ImAUC-PSVM retains the same structural solution as standard PSVM. …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…To prevent over-fitting of algorithms to training samples and to obtain optimistic results, in the process of extracting optimal parameters of machine learning algorithms, the spatial cross-validation method was used to reduce the spatial correlation between training and test data.Results and discussion: The results showed that the random forest algorithm with the area under the ROC curve of 0.9228 compared to the support vector machine and multilayer perceptron neural network algorithms with 0.8951 and 0.8726, respectively, had a better performance in estimating the change potential of non-urban to urban areas. …”
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EFFECTIVE SEISMIC TECHNOLOGIES FOR NEW GEOLOGICAL DISCOVERIES IN EAST SIBERIA by A. V. Gaiduk, D. N. Tverdokhlebov, E. A. Danko, E. I. Dolgova, A. B. Kleshnin, V. A. Grinchenko, E. I. Goguzeva, A. S. Chirgun

“…Upon further development of technologies, improvements are introduced in field operations, seismic data processing and interpretation, and drilling programs. …”
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First Identification of Emerging Pathogenic Yeast in <i>Clogmia albipunctata</i> (Diptera: Psychodidae) at a Brazilian Hospital by Kéren Vieira-Alcântara, Thiago Pavoni Gomes Chagas, Gisela Lara da Costa, Tatiane Nobre Pinto, Manoel Marques Evangelista Oliveira, Viviane Zahner

“…Twenty-six drain flies were collected from a tertiary hospital using sterile tubes and processed within two hours. The insects were identified as <i>Clogmia albipunctata</i> (Williston, 1893). …”
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