Model Klasifikasi Machine Learning untuk Prediksi Ketepatan Penempatan Karir by Hendri Mahmud Nawawi, Agung Baitul Hikmah, Ali Mustopa, Ganda Wijaya

“…The complexity of the job market requires individuals and organizations to understand the trends and needs of the world of work. One of the main challenges is the right career placement. That is becoming increasingly popular is the use of Machine Learning  algorithms in the decision-making process. …”
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Factors Influencing Misinformation Propagation: A Systemic Review by HAN Xi, LIAO Ke

“…The study also identified some limitations of current studies, including an excessive focus on the political and health issues, a lack of attention to how information characteristics, intervention factors, and platform characteristics play a role, and the relative simplicity of the research methods. Future studies should focus on misinformation propagation in other scenarios, explore more information characteristics suitable for algorithmic intervention, examine the differences in misinformation propagation on different platforms, and use mixed research methods to reach more credible conclusions. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…The coordinates of 527 DHS clusters were spatially overlaid with the 2015 Global Human Settlement Layer, showing the degree of urbanisation based on built environment and population density. …”
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Digital Land Suitability Assessment for Irrigated Cultivation of Some Agricultural Crops Using Machine Learning Approaches (Case Study: Qazvin-Abyek) by F. Jannati, F. Sarmadian

“…IntroductionResearch and development in high-potential agricultural areas are of great importance for ensuring the food needs of the population and livestock. …”
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AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images by Binyao Wang, Ya’nan Zhou, Weiwei Zhu, Li Feng, Jinke He, Tianjun Wu, Jiancheng Luo, Xin Zhang

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Deciphering plant transcriptomes: Leveraging machine learning for deeper insights by Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly

“…By revealing the complexity of stress tolerance and developmental processes, ML applications can inform breeding programs and improve agricultural resilience. Future research should focus on refining ML algorithms, improving the accessibility of these tools for plant scientists, and fostering interdisciplinary collaborations to maximize the potential of ML in plant transcriptomics.…”
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Machine learning assisted immune profiling of COPD identifies a unique emphysema subtype independent of GOLD stage by Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh

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FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events by Yannek Nowatzky, Francesco Friedrich Russo, Jan Lisec, Alexander Kister, Knut Reinert, Thilo Muth, Philipp Benner

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Chemoreactome prediction of anti-inflammatory, analgesic, ulcerogenic effects of the candidate molecule N-allylimidazole-zinc in comparison with zinc derivatives of nonsteroidal an... by P. A. Galenko-Yaroshevsky, A. V. Sergeeva, I. Yu. Torshin, A. N. Gromov, I. A. Reyer, O. A. Gromova, B. A. Trofimov, L. N. Parshina, R. A. Murashko, A. V. Zadorozhniy, A. V. Zelenskaya, N. S. Sergeev, Yu. V. Tovkach, O. N. Gulevskaya, I. V. Sholl

“…Nonsteroidal anti-inflammatory drugs (NSAIDs) are used for effective and safe pharmacotherapy of inflammation and pain. NSAIDs usually reduce the level of gastroprotective prostaglandin E2 due to cyclooxygenase-1 inhibition. …”
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Machine Learning in Microwave Medical Imaging and Lesion Detection by Wenyi Shao

“…Machine learning (ML) techniques have attracted many microwave researchers and engineers for their potential to improve performance in microwave- and millimeter-wave-based medical applications. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

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RGB and RGNIR image dataset for machine learning in plastic waste detectionZENODO by Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Samsul Ariffin Abdul Karim, Ashraf Osman Ibrahim, Nada Adam, Hadia Abdelgader Osman

“…While spectral imaging offers a promising solution, it has several drawbacks, such as complexity, high cost, and limited spatial resolution. Machine learning has emerged as a potential solution for plastic waste due to its ability to analyse and interpret large volumes of data using algorithms. …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Its main ingredient is a recurrent neural network (RNN) with the main architectural components being bidirectional Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) layers. …”
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Task shifting for non-communicable disease management in low and middle income countries--a systematic review. by Rohina Joshi, Mohammed Alim, Andre Pascal Kengne, Stephen Jan, Pallab K Maulik, David Peiris, Anushka A Patel

“…Factors such as training of NPHWs, provision of algorithms and protocols for screening, treatment and drug titration were the main enablers of the task-shifting intervention. …”
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DEVELOPMENT OF A SOFTWARE MODULE FOR OPERATIONAL DISPATCH CONTROL OF PRODUCTION BASED ON CYBER-PHYSICAL CONTROL SYSTEMS by Igor Nevliudov, Vladyslav Yevsieiev, Nataliia Demska, Sergiy Novoselov

“…To achieve this goal, it is necessary to solve the following tasks: develop an analytical and logical model of the CPPS development management process taking into account the requirements specified in the terms of reference for the development CPPS; to present the analytical and logical structure of connections in the form of a model of interaction of the main windows and all the necessary graphical elements for the implementation of the full-featured interface of the developed CPPS; to carry out experimental researches of efficiency and practical approbation of the received theoretical results, by comparison of classical methods and the developed ones. …”
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A Smart Platform for Monitoring and Managing Energy Harvesting in Household Systems by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Horia Hedesiu

“…Being composed of programmable components, which allow the implementation of custom algorithms and monitoring applications to optimize its operation, the system will be used as a prototyping platform in future research. …”
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Classification of ophthalmic segment internal carotid artery aneurysms: a literature review by Irina N. Sever, Anna E. Gerasyuta, Dmitry V. Litvinenko, Vyacheslav V. Tkachev

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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

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Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study by P. A. Makar, P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. O. Bash, M. D. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. E. Clifton, O. E. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, A. Lupascu, J. A. Lynch, K. Momoh, J. L. Perez-Camanyo, J. Pleim, Y.-H. Ryu, R. San Jose, D. Schwede, D. Schwede, T. Scheuschner, M. W. Shephard, R. S. Sokhi, S. Galmarini

“…</p> <p>Based on these results, an increased process-research focus is therefore recommended for the following model processes and for observations which may assist in model evaluation and improvement: multiphase hydrometeor scavenging combined with updated particle dry-deposition, cuticle, and soil deposition pathway algorithms for acidifying gases, base cation chemistry and emissions, and NH<span class="inline-formula">₃</span> bidirectional fluxes. …”
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Enabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO by Emil Bjornson, Ferdi Kara, Nikolaos Kolomvakis, Alva Kosasih, Parisa Ramezani, Murat Babek Salman

“…Finally, we identify open research and standardization challenges that must be overcome to efficiently use gigantic MIMO dimensions in 6G from hardware, cost, and algorithmic perspectives.…”
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