A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“…ObjectiveThis study aimed to create a new feature selection algorithm to improve the performance of machine learning classifiers to predict negative long-term behavioral outcomes in survivors of cancer. …”
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Analisis Seleksi Atribut Dalam Memprediksi Kegagalan Skripsi Mahasiswa Menggunakan Algoritme Naïve Bayes pada Jurusan Sistem Informasi Universitas Brawijaya by Satrio Hadi Wijoyo, Satrio Agung Wicaksono, Admaja Dwi Herlambang

“…The highest accuracy is the Naive Bayes algorithm using data training which shows the results of 412 correct predictions with an accuracy of 82.4% and 88 false predictions with a presentation of 17.6%. …”
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Contrail altitude estimation using GOES-16 ABI data and deep learning by V. R. Meijer, V. R. Meijer, S. D. Eastham, S. D. Eastham, S. D. Eastham, I. A. Waitz, S. R. H. Barrett, S. R. H. Barrett

“…The altitude estimation algorithm outputs probability distributions for the contrail top altitude in order to represent predictive uncertainty. …”
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A new method for surge arrester placement in high‐voltage substations considering environmental effects by Faridoddin Safaei, Mohsen Niasati

“…Simulations are based on experimental results, and the number of calculations significantly decreases using the proposed algorithm. Simulations of the sample network and implementation of the proposed algorithm with MATLAB and EMTP‐RV prove the efficiency of the proposed method for optimum SA placement.…”
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Characterization of the salivary microbiome in healthy individuals under fatigue status by Xianhui Peng, Na Han, Yanan Gong, Lihua He, Yanli Xu, Di Xiao, Tingting Zhang, Yujun Qiang, Xiuwen Li, Wen Zhang, Jianzhong Zhang

“…Phenotypic predictions indicated a significant increase in the proportion of bacteria harboring Mobile Genetic Elements (MGEs) (p=0.048), alongside significant reductions in the proportion of aerobic bacteria (p=0.006) and biofilm-forming capacity (p=0.002) in the FTG group. …”
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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…The purpose of the authors conducting this research is to determine the application of bagging techniques on the C4.5 algorithm, determine the accuracy of the results in the C4.5 algorithm, and compare the level of accuracy of the application of bagging techniques on the C4.5 algorithm. …”
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Rationale and study protocol of the MAMELI Cohort study (Mapping the Methylation of repetitive elements to track the Exposome effects on health: the city of Legnano as a Living lab... by Valentina Bollati, Federica Rota, Laura Dioni, Chiara Favero, Simona Iodice, Marta Gallazzi, Andrea Spinazzè, Giacomo Fanti, Davide Campagnolo, Tiago Nardi, Davide Biganzoli, Eva Dariol, Rachele Matsagani, Mirjam Hoxha, Paola Monti, Benedetta Albetti, Letizia Tarantini, Davide Barbuto, Ester Luconi, Giuseppe Marano, Giacomo Biganzoli, Roberta Biciuffi, Patrizia Boracchi, Domenico M Cavallo, Pilar M Guerrieri, Fabio Mosca, Stefano Gustincich, Giovanni Sanesi, Luca Ferrari, Michele Carugno, Silvia Fustinoni, Angela Cecilia Pesatori, Luca Pandolfini, Michele Miragoli, Andrea Cattaneo, Elia Biganzoli

“…The goal will be to develop a predictive algorithm (the MAMELI algorithm) that links the exposome to RE methylation status, creating a "RE methylation signature" reflecting the environmental impact on DNA methylation; iii) In this phase, the MAMELI algorithm will be applied to a separate cohort of 3,500 participants to compare the measured RE methylation signature with values predicted by the algorithm. …”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

“…This architecture includes a mapping algorithm that modulates inputs and map AFC to crossbar arrays directly, eliminating the need to predict approximated weights for evaluating output. …”
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Monitoring of Transformer Hotspot Temperature Using Support Vector Regression Combined with Wireless Mesh Networks by Naming Zhang, Guozhi Zhao, Liangshuai Zou, Shuhong Wang, Shuya Ning

“…Traditional methods typically measure only the surface temperature of transformers, whereas this study proposes a non-invasive thermal inversion algorithm based on a wireless mesh network that effectively predicts the internal hotspot temperature. …”
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Viscous Flow and Dynamic Stall Effects on Vertical-Axis Wind Turbines by A. Allet, I. Paraschivoiu

“…The numerical procedure used here, based on the control volume approach, is the widely known “SIMPLER” algorithm. The resulting algebraic equations are solved by the TriDiagonal Matrix Algorithm (TDMA) in the r- and z-directions and the Cyclic TDMA in the 0-direction. …”
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Forecasting temperature of the internal combustion engine using adaptive model by V. P. Denisov, A. P. Dombrovsky, S. S. Zhuravlev

“…The article presents an algorithm of obtaining prognostic parameters of a dynamic object on the example of forecasting temperature of the internal combustion engine. …”
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Machine learning based on patch antenna design and optimization for 5 G applications at 28GHz by Md․Sohel Rana, Sheikh Md․ Rabiul Islam, Sanjukta Sarker

“…The efficiency of the design-I was 89.66 %, and design-II was, 52.65 %. In this paper, a predictive model was developed using a polynomial regression algorithm to create a predictive model for the designed antenna. …”
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An artificial market model for the forex market by Kimihiko Sasaki, Daisuke Yokouchi

“…Furthermore, it endeavors to validate the model by replicating stylized facts, such as fat tails, which exhibit a higher degree of kurtosis in the return distribution than that predicted by normal distribution models. The validated artificial market model will be used to simulate market dynamics and algorithm strategies; its generated rates could also be applied to pricing and risk management for currency options and other foreign exchange derivatives. …”
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A 3D Image Reconstruction Model for Long Tunnel Geological Estimation by Yongtao Liu, Jie Qiao, Tianyuan Han, Longhui Li, Ting Xu

“…A frequency-domain (w-k) focusing algorithm, namely, a synthetic aperture radar focusing algorithm, is applied to focus scattered radar signals to obtain focused images. …”
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Assessing the potential of a Bayesian ranking as an alternative to consensus meetings for decision making in research funding: A case study of Marie Skłodowska-Curie actions. by Rachel Heyard, David G Pina, Ivan Buljan, Ana Marušić

“…While we set out to understand if algorithmic approaches, with the aim of summarising individual evaluation scores, could replace consensus meetings, we concluded that currently individual scores assigned prior to the consensus meetings are not useful to predict the final funding outcomes of the proposals. …”
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Numerical model of cutting tool blade wear by Panchuk V., Onysko O., Kotwica K., Barz C., Borushchak L.

“…The result of the program application, created based on the algorithm proposed in the article, showed that the predicted accuracy of the obtained profile’s half-angle could be in a range from –0.03° to +0.10°, which is equivalent to 4–13 % of tolerance of this dimension.…”
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Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records by Shumit Saha, Heather Ross, Pedro Elkind Velmovitsky, Chloe X. Wang, Julie K. K. Vishram-Nielsen, Cedric Manlhiot, Bo Wang, Joseph A. Cafazzo

“…Further, patients’ electronic health records (EHR) were not used when developing the rules-based algorithm. This study aimed to enhance Medly’s performance with machine learning and include a richer set of data, including EHR, for predicting decompensated HF episodes. …”
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Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning by Yi-Tui Chen, Yi-Min Li, Tzu-Wen Tseng

“…Therefore, this study proposed a platform-related algorithm based on machine learning to build the integration of eco-sustainable tourism and marketing in Southeast Asia and used a collaborative filtering algorithm and a route generation algorithm to recommend information or predict specific needs for specific tourists. …”
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Cooperativity among short amyloid stretches in long amyloidogenic sequences. by Lele Hu, Weiren Cui, Zhisong He, Xiaohe Shi, Kaiyan Feng, Buyong Ma, Yu-Dong Cai

“…The algorithm successfully predicted and classified amyloid segments with an overall accuracy of 75%. …”
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A High-Precision Real-Time Temperature Acquisition Method Based on Magnetic Nanoparticles by Yuchang Zhu, Li Ke, Yijing Wei, Xiao Zheng

“…Compared with the opposition learning gray wolf optimizer and particle swarm optimization–gray wolf optimization, the proposed method achieves reductions of 52% and 68%, respectively. Additionally, under dual-frequency superimposed magnetic field excitation, a higher temperature inversion accuracy is achieved compared with that of the particle swarm optimization–gray wolf optimization algorithm, reducing the error from 0.237 K to 0.094 K.…”
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