Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks by Phat Nguyen Huu, Quyen Pham Thi, Phuong Tong Thi Quynh

“…We first convert the distorting image caused by the camera and use a threshold algorithm for the lane detection algorithm. …”
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The effectiveness of curriculum standardization in data analysis and tools proficiency for undergraduate education: a case study by Lorena DelaTorre-Diaz, Héctor X. Ramírez-Pérez, David Escobar-Castillejos

“…Standardizing curricula is a strategy to ensure consistent learning outcomes and align educational objectives with industry requirements. …”
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Modelling Enterprise’s Coordinated Development Strategy with a Soft Fuzzy Rough Set by Tongtong Wang, Jianing Cui

“…Furthermore, we use training methods and soft fuzzy rough sets’ learning algorithm to calculate, and the evaluating indicator rough set is constructed with a three-tier model structure. …”
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A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics by Davide Chicco, Andrea Sichenze, Giuseppe Jurman

“…Abstract In an age when machine learning and artificial intelligence are broadly employed, traditional statistics can still provide insightful information and results quickly and at a low computational cost. …”
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Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm by Hui Li

“…The algorithm includes three stages: the first climbing stage, the learning stage, and the continuous climbing stage. …”
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EXERCISE AND NEUROGENESIS by Mehmet Ünal

“…If voluntary exercise exceeds a certain threshold and become exhaustion, neurogenesis is prevented via the same mechanism. …”
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Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF by Alireza Shafiei, Mehrnaz Monajati

“…The escalating development of artificial intelligence and machine learning in Industry 4.0 and cyber-physical systems has heightened security challenges for humans. …”
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A Prediction-Based Anomaly Detection Method for Traffic Flow Data with Multi-Domain Feature Extraction by Xianguang Jia, Jie Qu, Yingying Lyu, Mengyi Guo, Jinke Zhang, Fengxiang Guo

“…For error analysis, this paper innovatively applies Chebyshev’s inequality to determine the error threshold, identifying anomalies based on whether errors exceed this threshold. …”
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Determining design thinking elements in chemistry education: A Fuzzy Delphi method by Norliyana binti Md. Aris, Nor Hasniza binti Ibrahim, Noor Dayana binti Halim, Nurul Hanani binti Rusli, Muhammad Nidzam bin Yaakob

“…Creating a high-quality learning environment where students can solve real-world problems and be receptive is essential for fostering students’ innovation competencies. …”
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Severe lithium-induced nephrogenic diabetes insipidus: The diuresis paradox by G S Tatz, Marc Blockman, J A Dave, I L Ross

“…Failure to follow up critical results led to profound morbidity, and is a crucial learning point in this case. …”
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Human lineage mutations regulate RNA-protein binding of conserved genes NTRK2 and ITPR1 involved in human evolution by Min Zhao, Weichen Song, Shunying Yu, Wenxiang Cai, Guan Ning Lin

“…Background The role of human lineage mutations (HLMs) in human evolution through post-transcriptional modification is unclear.Aims To investigate the contribution of HLMs to human evolution through post-transcriptional modification.Methods We applied a deep learning model Seqweaver to predict how HLMs impact RNA-binding protein affinity.Results We found that only 0.27% of HLMs had significant impacts on RNA-binding proteins at the threshold of the top 1% of human common variations. …”
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Research on Abnormal Ship Brightness Temperature Detection Based on Infrared Image Edge-Enhanced Segmentation Network by Xiaobin Hong, Guanqiao Chen, Yuanming Chen, Ruimou Cai

“…An eXtreme Gradient Boosting (XGBoost) machine learning model is then established to predict the ship image brightness temperature threshold, using engine brightness threshold, water area brightness threshold, boundary brightness threshold, and temperature gradient as predictive elements. …”
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Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks by Zane Z. Chou, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller

“…Our findings indicate that maximum capacity scales as (N/S)S, where N is the number of input/output units and S the pattern sparsity, under threshold constraints related to minimum pattern differentiability. …”
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Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods by Reihanesadat Khatami, Mohammadsadegh Faghihi, Hannanesadat Khatami, Mahmoud Yousefifard, Seyedhesamoddin Khatami

“…We recommend that primary studies report threshold-specific sensitivity and specificity to support more accurate meta-analytic estimations. …”
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Rice Identification and Spatio-Temporal Changes Based on Sentinel-1 Time Series in Leizhou City, Guangdong Province, China by Kaiwen Zhong, Jian Zuo, Jianhui Xu

“…In this study, we utilized multi-temporal Sentinel-1 data to develop a method for rapidly extracting the range of rice fields using a threshold segmentation approach and employed a U-Net deep learning model to delineate the distribution of rice fields. …”
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The needs and gaps in pharmacogenomics knowledge and education among healthcare professionals in Malaysia: A multisite Delphi study by Safa Omran, Siew Lian Leong, Ali Blebil, Devi Mohan, Wei Chern Ang, Siew Li Teoh

“…This study aims to assess the current pharmacogenomics knowledge gaps and learning needs of healthcare professionals in Malaysia. …”
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U-net based approach for pectoralis muscle segmentation in digital mammography by Francesca Angelone, Alfonso Maria Ponsiglione, Roberto Grassi, Francesco Amato, Mario Sansone

“…This study aims to propose an automatic breast segmentation algorithm that combines traditional methods with Deep Learning methods limited only to the border region between the muscle and the breast. …”
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A Self‐Organizing Map Spiking Neural Network Based on Tin Oxide Memristive Synapses and Neurons by Yu Wang, Yanzhong Zhang, Yanji Wang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong

“…These tin oxide memristors demonstrate stable switching between threshold switch (TS) and resistive switch (RS) modes, achieved by adjusting the compliance current. …”
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Exploring subthreshold processing for next-generation TinyAI by Farid Nakhle, Antoine H. Harfouche, Antoine H. Harfouche, Hani Karam, Vasileios Tserolas

“…The energy demands of modern AI systems have reached unprecedented levels, driven by the rapid scaling of deep learning models, including large language models, and the inefficiencies of current computational architectures. …”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

“…Experiment results show that the proposed method achieves average IoU, recall, and accuracy of 92.8%, 95.3%, and 94.3%, respectively, even surpassing the performance of deep learning-based semantic segmentation network.…”
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