Machine learning-based prediction model for brain metastasis in patients with extensive-stage small cell lung cancer by Erha Munai, Siwei Zeng, Ze Yuan, Dingyi Yang, Yong Jiang, Qiang Wang, Yongzhong Wu, Yunyun Zhang, Dan Tao

“…Four different machine learning (ML) algorithms were used to create prediction models for BMs in ES-SCLC patients. …”
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Issues of Designing Effective Educational Programs in the Field of “Applied Informatics” in the Conditions of Innovative Development by Yu. F. Telnov, M. S. Gasparian, M. A. Filyuk

“…The purpose of this research is to develop innovative educational programs at the stage of digital transformation of higher education and the transition to practice-oriented project training of University graduates in IT areas. …”
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What has changed in the attitude of health workers towards vaccination after the pandemic COVID-19 by S. M. Kharit, L. V. Romanov, Yu. E. Konstantinova, S. A. Bogdan

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Scoping review to identify and map non-pharmacological, non-surgical treatments for dysphagia following moderate-to-severe acquired brain injury by Signe Janum Eskildsen, Daniela Jakobsen, Christian Gunge Riberholt, Ingrid Poulsen, Derek John Curtis

“…However, there are no studies that map interventions available to retrain swallowing function in patients with moderate-to-severe ABI.Objective To systematically map the accessible research literature to answer the research question: Which non-surgical, non-pharmacological interventions are used in the treatment of dysphagia in patients with moderate and severe ABI in the acute and subacute phase?…”
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A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles by Zhijian Chen, Yijun Fang, Jianjun Yin, Shiyu Lv, Farhan Sheikh Muhammad, Lu Liu

“…When compared with other algorithms, such as Faster RCNN, SSD, YOLOv3-tiny, and YOLOv5, the improved model strikes an optimal balance between parameter count, computational efficiency, detection speed, and accuracy, yielding superior results. …”
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Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome by Ge Jin, Xiaomei Fan, Xiaoliang Liang, Honghong Dai, Jun Wang

“…These findings provide crucial insights into the role of ubiquitination in CC pathogenesis and offer valuable targets for advancing future research and therapeutic strategies.…”
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ARKAIV: Predicting Data Exfiltration Using Supervised Machine Learning Based on Tactics Mapping From Threat Reports and Event Logs by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Bernardi Pranggono, Esti Rahmawati Agustina

“…To optimize model performance, we benchmarked three resampling methods, five feature selection techniques, and five ML algorithms. Our key contributions include the creation of a novel dataset, the comprehensive techniques used to develop the ML model, and the proposed prediction method, which advances existing research. …”
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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

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Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation by Firman Tempola, Miftah Muhammad, Amal Khairan

“…Selain itu, penggunaan naive bayes jaraknya akurasi lebih dekat dibandingan dengan k-nn.   Abstract This research will compare two classification algorithms that are K-Nearest Neighbors and Naive Bayes Classifier on data of volcanic status activity in Indonesia. …”
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Improvement of pinch technology for the possibility of integration of non-stationary thermal processes, taken into account of their localization by D. S. Agapov, A. P. Kartoshkin, A. A. Kalutik, A. V. Kondrashov

“…Also,  the  practical  result  of  this  scientific research  is  a  program  for  the  synthesis  of  heat  exchange  networks.  …”
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Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…Analysis and evaluation of already developed solutions, as well as existing literature; testing of existing algorithms for data analysis, finding diffraction maxima on the diffractogram. …”
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Lidargrammetric co-matching and co-adjustment – a new method of photogrammetric and LiDAR data integration by A. Rzonca, M. Twardowski

“…The efficacy of the captured data can be enhanced through the implementation of effective data processing methodologies. The present research is dedicated to the enhancement of combined photogrammetric and LiDAR data.…”
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Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 Pandemic by Cagatay Cebeci, Kasım Zor

“…Machine learning- and artificial intelligence-based methods are widely studied by researchers to tackle the demand forecasting problem. …”
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From Simulation to Field Validation: A Digital Twin-Driven Sim2real Transfer Approach for Strawberry Fruit Detection and Sizing by Omeed Mirbod, Daeun Choi, John K. Schueller

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Improved Soybean Mapping with Spectral Gaussian Mixture Modeling by Guilong Xiao, Kaiqi Du, Shuangxi Miao, Xuecao Li, Anne Gobin, Tiecheng Bai, Miao Zhang, Bingfang Wu, Jianxi Huang

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Machine-Learning-Based Biomechanical Feature Analysis for Orthopedic Patient Classification with Disc Hernia and Spondylolisthesis by Daniel Nasef, Demarcus Nasef, Viola Sawiris, Peter Girgis, Milan Toma

“…(1) <b>Background</b>: The exploration of various machine learning (ML) algorithms for classifying the state of Lumbar Intervertebral Discs (IVD) in orthopedic patients is the focus of this study. …”
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Development of the mechanism of intellectual management of “student-lecturer” relations in the space of virtual education with the use of neural networks by Guseyn Alekper ogly Gasymov

“…Research objective. The paper deals with the solution of the problem of regulation of lecturer and student relations using neural networks for bimodal electronic universities. …”
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Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

“…We find that the current state of research on online fraud is broken into the various scam activities that take place, and more specifically, we identify 16 different frauds that researchers focus on. …”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

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Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals by Behnam Javanmardi, Rebekah L. Waikel, Tinatin Tkemaladze, Shahida Moosa, Alexander Küsshauer, Jean Tori Pantel, Minu Fardipour, Peter Krawitz, Benjamin D. Solomon, Klaus Mohnike

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