Effects of post-heat treatments on the microstructure and mechanical properties of Ti–6Al–4V alloy fabricated by selective laser melting by Yuantao Zhao, Yongkang Yue, Wenlong Deng, Jiansheng Li, Ming Chen, Shenqiang Liu, Wenge Li, Yanbo Liu, Vincent Ji

“…In this study, post-heat treatments were applied to Ti–6Al–4V (TC4) alloy fabricated by selective laser melting (SLM) to investigate the effects of annealing temperature (750–950 °C in 50 °C intervals) on the alloy's microstructure, residual stress and mechanical properties. …”
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Improving Soil Heavy Metal Lead Inversion Through Combined Band Selection Methods: A Case Study in Gejiu City, China by Ping He, Xianfeng Cheng, Xingping Wen, Yi Cao, Yu Chen

“…To construct a preliminary Pb content prediction model, the initial selection of spectral bands utilized methods including CARS (Competitive Adaptive Reweighted Sampling), GA (Genetic Algorithm), MI (mutual information), SPA (Successive Projections Algorithm), and WOA (Whale Optimization Algorithm). …”
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Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

“…This study investigates the application of a Mamdani type-2 fuzzy inference system (FIS) for optimizing well selection in gas lift design within the HYSOL field of the Niger Delta, Nigeria. …”
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Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection by Ruo-Fei Xu, Zhen-Jing Liu, Shunan Ouyang, Qin Dong, Wen-Jing Yan, Dong-Wu Xu

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The use of various genetically engineered biological drugs and selective immunosuppressants within the current provider-payment model of russian diagnosis-related groups by E. V. Derkach, E. A. Pyadushkina, M. V. Avxentyeva, T. V. Boyarskaya, E. E. Yagnenkova, A. S. Mokrova, M. M. Maryanyan

“…It is possible to maintain the initial volume of the financing and increase the number of patients that receive GEBD and SI due to a decrease in the number of hospitalizations. …”
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Personalised selection of medication for newly diagnosed adult epilepsy: study protocol of a first-in-class, double-blind, randomised controlled trial by Mark Howard, Wendyl D’Souza, Emma Foster, Patrick Carney, Zanfina Ademi, Patrick Kwan, David N Vaughan, James Lee, Clare Stapleton, Zongyuan Ge, Zhibin Chen, Natasha A Lannin, Udaya Seneviratne, Robert Sparrow, Piero Perucca, Armin Nikpour, Chong Wong, John-Paul Nicolo, Michelle Kiley, Terence O’Brien, Jacqui-Lyn Saw, Dean Jones, David Reutens, Sandra Reeder, Richard Shek-kwan Chang, Ernest Somerville, Tania Farrar, Daniel Thom, Lata Vadlamudi

“…Acceptability of the model will also be assessed.The primary outcome will be the proportion of participants who achieve seizure-freedom (defined as no seizures during the 12-month follow-up period) while taking the initially prescribed ASM. Secondary outcomes include time to treatment failure, time to first seizure after randomisation, changes in mood assessment score and quality of life score, direct healthcare costs, and loss of productivity during the treatment period.This trial will provide class I evidence for the effectiveness of a ML model as a decision support tool for neurologists to select the first ASM for adults with newly diagnosed epilepsy.Ethics and dissemination This study is approved by the Alfred Health Human Research Ethics Committee (Project 130/23). …”
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Mise en place d’une expérimentation in situ by Sophie Tabouret

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Residual hearing preservation for cochlear implantation surgery by Chung-Ching Lin, Ting Chiu, Hong-Ping Chiou, Chu-Man Chang, Chuan-Jen Hsu, Hung-Pin Wu

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OptiViewNeRF: Optimizing 3D reconstruction via batch view selection and scene uncertainty in Neural Radiance Fields by You Li, Rui Li, Ziwei Li, Renzhong Guo, Shengjun Tang

“…To address these challenges, we introduce a new framework, OptiViewNeRF, which leverages scene uncertainty to guide the view selection process. Initially, an uncertainty estimation model of the entire scene is developed based on a preliminary NeRF model. …”
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Bayesian multiple changing-points detection by Sang Gil Kang, Woo Dong Lee, Yongku Kim

“…Subsequently, we applied Bayesian model selection to ascertain the most suitable polynomial order for the identified segments. …”
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Guarding the cotton fields by refining the resilience against sucking pests: use of cutting-edge breeding and other techniques by G. Dinesh Kumar, N. Manikanda Boopathi, S. Geethanjali, A. Subramanian, S. Somasundaram, M. Kannan, N. Premalatha, V. G. Shobhana, N. Ramya Selvi, D. K. Nivetha, A. Akash, R. Ravikesavan

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Memory consolidation from a reinforcement learning perspective by Jong Won Lee, Min Whan Jung, Min Whan Jung

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Microstructure and impact toughness evolution in high-strength anchor chain steel: A Jominy test-based investigation by Penglong Zhu, Haitao Zhao, Zanyang Liu, Junheng Gao, Honghui Wu, Chaolei Zhang, Yuhe Huang, Jun Lu, Shuize Wang, Xinping Mao

“…The coarser microstructure at larger dqe can be explained by the severe variant selection during phase transformation.…”
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Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy by Hua Chen, Kehui Mei, Yuan Zhou, Nan Wang, Guangxing Cai

“…Then, the features of the dataset are initially screened using the mutual information method, and further secondary feature selection is performed using the recursive feature elimination method based on the XGBoost algorithm. …”
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Full cycle rice growth monitoring with dual-pol SAR data and interpretable deep learning by Ji Ge, Hong Zhang, Lu Xu, Wenjiang Huang, Jingling Jiang, Mingyang Song, Zihuan Guo, Chao Wang

“…Finally, an interpretable DL architecture incorporating a feature selection explainer and a feature-aware enhanced segmentation model is introduced. …”
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Research on the Evaluation of the Node Cities of China Railway Express Based on Machine Learning by Chenglin Ma, Mengwei Zhou, Wenchao Kang, Haolong Wang, Jiajia Feng

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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches by Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Zheshan Guo, Haipeng Liu, Prince Jain

“…Initially, Boruta and IMRMR were applied to extract relevant gene expression aspects. …”
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Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…For feature selection (FS), the proposed EMDD-ADLMOA technique utilizes the quantum-inspired firefly algorithm (QIFA) model. …”
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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…The Mayfly Optimization Algorithm (MOA) is then utilized for feature selection, effectively mitigating computational complexity. …”
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A RANGE‐WIDE META‐ANALYSIS OF WILD TURKEY NESTING PHENOLOGY AND SPRING SEASON OPENING DATES by Darroch M. Whitaker, James C. Pack, Gary W. Norman, Dean F. Stauffer, Scott D. Klopfer

“…Lastly, we compared incubation initiation dates to opening dates for spring male‐only hunting in each jurisdiction. …”
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