Career Development Center Berbasis Social Media Menggunakan Algoritma Gale-Shapley dan Framework Codeigniter by Rifky Syaripudin, Oman Komarudin, Intan Purnamasari

“…The modeling design uses UML (Unified Modeling Language) which is implemented using the Gale-Shapley Algorithm and Codeigniter Framework with Netbeans 7.4 IDE tools. …”
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Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors by A. E. Garanina, A. V. Kholin

“…The developed algorithms will help optimize screening and referral for additional examinations, which is of practical importance for improving diagnostics and optimizing healthcare resources.…”
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A model of indoor thermal condition based on traditional acehnese houses using artificial neural network by Muslimsyah, Abdul Munir, Yuwaldi Away, Abdullah, Teuku Yuliar Arif, Andri Novandri

“…The study employs an ANN (Artificial Neural Network) algorithm to predict thermal condition parameters including indoor: temperature, humidity, and wind speed. …”
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Host associations and genetic diversity of bat flies (Diptera: Nycteribiidae and Streblidae) in bats from Thailand by Dimas Novianto, Siwaporn Tuangpermsub, Thongchai Ngamprasertwong, Morakot Kaewthamasorn

“…Species identification was confirmed via BLASTN searches, and species delimitation was conducted using the ASAP algorithm under three substitution models. Phylogenetic relationships were inferred using Maximum Likelihood methods, while genetic variation was assessed through TCS haplotype network analysis. …”
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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…The Random Forest model demonstrated high accuracy and specificity, but moderate precision and recall, limiting immediate real-world application.DiscussionWhile regional GM volume shows promise for identifying older drivers at risk of critical DSP decline, predictive performance remains suboptimal for practical implementation. …”
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Estimation of the Potential Benefits of Meningococcal Vaccination in Children at 9 and 12 Months of Age Using a Predictive Mathematical Model by N. I. Briko, O. I. Volkova, I. S. Korolyova, E. O. Kurilovich, L. D. Popovich, I. V. Feldblum

“…The aim is to assess the predicted socio-economic consequences for different scenarios: while maintaining the current vaccination algorithm and including in the NIS vaccination against MI of all children aged 9 and 12 months using mathematical modeling.Results and discussion. …”
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A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion by Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu

“…The experimental results showed that this paper’s algorithm had better objective indexes on all test sets and outperformed the comparison algorithms. …”
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Phenotypic Trait Acquisition Method for Tomato Plants Based on RGB-D SLAM by Penggang Wang, Yuejun He, Jiguang Zhang, Jiandong Liu, Ran Chen, Xiang Zhuang

“…The relative errors when predicting the plant height, canopy width, and volume are 3.86%, 14.34%, and 27.14%, respectively, while the errors concerning the fruit count and fruit volume are 14.36% and 14.25%. …”
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Comprehensive analysis of the catastrophic October 4th 2023 glacial lake outburst flood in the South Lhonak Lake, Sikkim Himalayas by Ge Qu, Shuwu Li, Changhu Li, Wenlong Yu, Yunfeng Shan, Zhengzheng Li, Weile Li

“…The Generalized Split-Window (GSW) algorithm was applied to invert land surface temperatures (LST), while glacier surface deformation was quantified using Pixel Offset Tracking (POT) and stereo photogrammetry. …”
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Max–Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA by Omar Maraqa, Sylvester Aboagye, Majid H. Khoshafa, Telex M. N. Ngatched

“…To that end, we utilize a genetic algorithm-based solution method, which through its exploration and exploitation capabilities can obtain a good quality solution. …”
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Experimental acoustic study of small horizontal axis wind turbines based on computational fluid dynamics and artificial intelligence approaches by M. Sadeghi malekabadi, A.R. Davari

“…In modern wind turbine design, two significant challenges arise: achieving optimal aerodynamic performance while minimizing acoustic noise emissions. However, the extensive numerical computations required for accurate evaluation often hinder the implementation of multi-objective optimization strategies. …”
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Topography Effects on Microwave Emission Transmission of Snowpack and Snow Depth Retrieval by L. Dai, T. Che, Z. Hu

“…Advancements in snow depth retrieval from passive microwave remote sensing data have mainly focused on influence of varying snow characteristics and forests, while neglecting the complicated mountainous terrain. …”
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HypE-GA based study on optimal design of standard floor facade windowing of high-rise office buildings facing energy saving in heating, cooling and lighting. by Weixiang Zhang, Jieli Sui

“…Secondly, the weak interactivity and algorithmic limitations of traditional simulation platforms prevent rapid access to ideal design strategies. …”
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Lateral Flow Loop-Mediated Isothermal Amplification Test with Stem Primers: Detection of Cryptosporidium Species in Kenyan Children Presenting with Diarrhea by Timothy S. Mamba, Cecilia K. Mbae, Johnson Kinyua, Erastus Mulinge, Gitonga Nkanata Mburugu, Zablon K. Njiru

“…Current diagnostic methods for cryptosporidiosis such as microscopy have low sensitivity while techniques such as PCR indicate higher sensitivity levels but are seldom used in developing countries due to their associated cost. …”
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Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models by Azita Molaeinasab, Hossein Bashari, Mostafa Tarkesh Esfahani, Saeid Pourmanafi, Norair Toomanian, Bahareh Aghasi, Ahmad Jalalian

“…Predictor selection involved multicollinearity testing using the Variance Inflation Factor (VIF) and the Boruta algorithm. Model performance was assessed using tenfold cross-validation. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…To address these limitations, the proposed model integrates an Adaptive Neuro-Fuzzy Inference System (ANFIS) with a multi-input multi-output (MIMO) prediction algorithm, utilizing historical temperature and irradiance data for accurate and efficient forecasting. …”
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Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow by Marius Huguet, Canan Pehlivan, François Ballereau, Antoine Dodane-Loyenet, Franck Fontanili, Thierry Garaix, Youri Yordanov, Vincent Augusto, Karim Tazarourte, Abdesslam Redjaline

“…Additionally, we developed a user recognition algorithm (i.e., random forest classifier) capable of detecting the job category of the participant wearing the sensor. …”
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A hybrid AI-CFD framework for optimizing heat transfer of a premixed methane-air flame jet on inclined surfaces by Panit Kamma, Kittipos Loksupapaiboon, Juthanee Phromjan, Chakrit Suvanjumrat

“…To reduce the computational expense of these simulations, a hybrid Artificial Neural Network-Genetic Algorithm (ANN-GA) model was developed. The ANN accurately predicted thermal efficiency based on operational parameters, while the GA optimized these inputs to achieve maximum thermal efficiency of 76.9955 %, closely matching the CFD-predicted value of 70.86 % (discrepancy:6.1355 %). …”
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Features of COVID-19 course in patients with obesity and dysglycemia by L. G. Strongin, K. G. Korneva, A. V. Petrov, T. A. Nekrasova, E. A.A. Mavia, D. V. Belikina, E. S. Malysheva, O. V. Melnichenko

“…At the same time, persons with overt T2D are prone to the most severe COVID-19 course, while patients with prediabetes in terms of disease severity occupy an intermediate position between them and those without CMDs. …”
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Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification by Lochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, Fiona Brownfoot, Emerson Keenan

“…Our findings reveal that using only FHR and pre-processing FHR with artefact removal and interpolation provides a significant improvement to classification performance for some model architectures while excluding intermediate pH samples did not significantly improve performance for any model. …”
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