Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

“…The clinical community has a lot of diabetes diagnostic data. Machine learning algorithms may simplify finding hidden patterns, retrieving data from databases, and predicting outcomes. …”
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Identification of Ferroptosis-Associated Long Noncoding RNA Prognostic Model and Tumor Immune Microenvironment in Thyroid Cancer by Yongjian Lin, Fu Gan, Xiaoyu He, Huachu Deng, Yong Li

“…Furthermore, immune-related mechanisms were investigated by analyzing the tumor immune microenvironment (TIME) and applying algorithms such as CIBERSROT. Results. We built a highly accurate nomogram to promote the clinical applicability of Ferr-LPM. …”
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Reliability of a Low-Cost Inertial Measurement Unit (IMU) to Measure Punch and Kick Velocity by Lukas Pezenka, Klaus Wirth

“…Utilizing a low-cost mobile phone in conjunction with the PhyPhox app, acceleration data was collected and analyzed using a custom algorithm. This involved strike segmentation and numerical integration to determine velocity. …”
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CARDIAC-STAR: prevalence of cardiovascular comorbidities in patients with HR + /HER2 − metastatic breast cancer by Susan Dent, Avirup Guha, Heather Moore, Doris Makari, Rachael McCaleb, Irene Arias, Stella Stergiopoulos, Benjamin Li, Michael Fradley

“…Methods This retrospective analysis utilized claims data from Merative™ Marketscan® Commercial and Medicare databases. Claims-based algorithms identified patients with newly diagnosed HR + /HER2– mBC between January 2016 and December 2022. …”
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Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR by Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel

“…Following the success of artificial intelligence (AI) in various fields, researchers are now leveraging AI algorithms to catalyze and optimize the multi-step process of CRISPR-Cas9 system. …”
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A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery by Li Zhao, Yufeng Zhou, Wei Zhong, Cheng Jin, Bo Liu, Fangzhao Li

“…Based on deep learning technology, many automatic sea ice classification algorithms have been developed using synthetic aperture radar (SAR) imagery over the last decade. …”
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Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System by Guang Chen, Hu Cao, Muhammad Aafaque, Jieneng Chen, Canbo Ye, Florian Röhrbein, Jörg Conradt, Kai Chen, Zhenshan Bing, Xingbo Liu, Gereon Hinz, Walter Stechele, Alois Knoll

“…If the accuracy is prioritized, the tracking task can also be performed robustly at a relatively high rate with different combinations of algorithms. We also provide our dataset and evaluation approaches serving as the first neuromorphic benchmark in ITS and hopefully can motivate further research on neuromorphic vision sensors for ITS solutions.…”
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Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom by Kathryn E. Keenan, Ben P. Berman, Slávka Rýger, Stephen E. Russek, Wen-Tung Wang, John A. Butman, Dzung L. Pham, Joseph Dagher

“…The images were processed by 10 phase estimation algorithms including Laplacian, region-growing, branch-cut, temporal unwrapping, and maximum-likelihood methods, resulting in approximately 90 different combinations of data acquisition and phase estimation methods. …”
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Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signa... by Ke Gon g, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

“…Finally, we used these features to detect hypertension via machine learning algorithms. Results We validated the proposed method on 405 subjects. …”
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Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review by Hao Xin, Dingcheng Tang, Linwei Dang, Lei Gao, Zhenyu Yang, Bin Wu, Xiaofan He, Zhixin Zhan

“…The study also delves into the fatigue behaviours influenced by specific configurations and loading conditions, categorises the factors impacting fatigue failure in lattice materials, and presents a comprehensive review of fatigue life prediction methods, derived from an enhanced understanding of the fatigue process and the development of progressive fatigue failure algorithms. Finally, the current research advancements and limitations are discussed to provide a clearer perspective on the fatigue challenges associated with AM metallic lattice materials.…”
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Species delimitation and microalgal cryptic diversity analysis of the genus Micractinium (Chlorophyta) by E. S. Krivina, A. D. Temraleeva, Yu. S. Bukin

“…Phylogenetic analysis showed that the genus Micractinium is characterized by high cryptic diversity. The algorithms used for species delimitation had different results on the number of potentially species-level clusters allocated. …”
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IMPROVE OF UNCERTAIN MICROSATELLITE MAGNETIC CLEANLINESS BASED ON MAGNETIC FIELD SPATIAL HARMONICS COMPENSATION by Б.І. Кузнецов, Т.Б. Нікітіна, І.В. Бовдуй, К.В. Чуніхін, В.В. Коломієць, Б.Б. Кобилянський

“…Both vector game solution calculated based on particles multi-swarm optimization (PMSO) algorithms from Pareto optimal solutions taking into account binary preference relations. …”
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COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database by Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu

“…We have assessed COph100 in terms of image quality and registration outcomes using state-of-the-art algorithms. This resource enables a robust comparison of retinal registration methodologies and aids in the analysis of disease progression in infants, thereby deepening our understanding of pediatric ophthalmic conditions.…”
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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

“…A combination of four machine learning algorithms (XGBoost、Logistic Regression、Random Forest、AdaBoost) was employed to predict NPM recurrence, and the model with the highest Area Under the Curve (AUC) in the test set was selected as the best model. …”
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UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors by Yi Xu, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato

“…Due to the advancement of image processing algorithms, the prevalence of surveillance ambient cameras shows promise for offering sub-meter accuracy localization services. …”
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Design and Experimental Evaluation of a Smart Intra-Row Weed Control System for Open-Field Cabbage by Shenyu Zheng, Xueguan Zhao, Hao Fu, Haoran Tan, Changyuan Zhai, Liping Chen

“…Future research will focus on optimizing control algorithms and feedback mechanisms to enhance the system’s dynamic response capability and adaptability, thereby advancing the development of sustainable agriculture and precision field management.…”
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Microplastics in food products: Prevalence, artificial intelligence based detection, and potential health impacts on humans by M. Amin Mir, Muhammad Azhar Ali Khan, Bimal Krishna Banik, Syed M. Hasnain, Lina Alzayer, K. Andrews, Sani I. Abba

“…The research also highlights the necessity of better detection methods, like multispectral imaging and AI-based algorithms, to increase the precision and effectiveness of microplastic identification in food. …”
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Implementasi Algoritma AES 256 CBC, BASE 64, Dan SHA 256 dalam Pengamanan dan Validasi Data Ujian Online by Ferzha Putra Utama, Gusman Wijaya, Ruvita Faurina, Arie Vatresia

“…This study proposes applying several cryptographic methods to secure and ensure the authenticity of online exam data using AES 256 CBC, Base 64, and SHA 256 algorithms. This research resulted in a website-based online exam application built using MERN Stack technology. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

“…Inverse problems contribute to uncovering subtle abnormalities by employing iterative optimization techniques and sophisticated algorithms, enabling precise and early disease detection. …”
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Reliably quantifying the severity of social symptoms in children with autism using ASDSpeech by Marina Eni, Yaniv Zigel, Michal Ilan, Analya Michaelovski, Hava M. Golan, Gal Meiri, Idan Menashe, Ilan Dinstein

“…We openly share both algorithm and speech feature dataset for use and further development by the community.…”
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