Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar

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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms by Hossam M. J. Mustafa, Masri Ayob

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AN EXPERIMENTAL INVESTIGATION OF THE 236U DETECTION LIMIT IN THE SURFACE AIR USING RADIOCHEMICAL SEPARATION AND ALPHA-SPECTROMETRY by A. D. Gedeonov, I. V. Kolchin, A. K. Avenirov

“…In this paper the sensitive method for236U determination in the surface air is described. …”
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A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

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Fast Detection of Idler Supports Using Density Histograms in Belt Conveyor Inspection with a Mobile Robot by Janusz Jakubiak, Jakub Delicat

“…Our method processes a point cloud image to determine positions of the frames relative to the robot. …”
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Identification method of roof rock interface based on response characteristics of drilling parameters by LI Dianshang, LIU Cancan, WANG Chuanbing, REN Bo, REN Shuai, KANG Zhipeng

“…This paper investigates measurement while drilling for rock strata interface to achieve geological transparency, promote intelligence development, and address the limitations of traditional rock detection methods in coal mines, including slow speed, high costs, and poor accuracy. …”
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DAF-Net: Dual-Aperture Feature Fusion Network for Aircraft Detection on Complex-Valued SAR Image by Qingbiao Meng, Youming Wu, Yuxi Suo, Tian Miao, Qingyang Ke, Xin Gao, Xian Sun

“…Therefore, we propose a dual-aperture feature fusion network (DAF-Net) designed to improve aircraft detection by mining, enhancing, and fusing features from both full-aperture and subaperture images. …”
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Improved FraSegNet-Based Rock Nodule Identification Method and Application by Yanbo Zhang, Guanghan Zhang, Qun Li, Xulong Yao, Hao Zhou

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Accelerating adverse pregnancy outcomes research amidst rising medication use: parallel retrospective cohort analyses for signal prioritization by Yeon Mi Hwang, Samantha N. Piekos, Alison G. Paquette, Qi Wei, Nathan D. Price, Leroy Hood, Jennifer J. Hadlock

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Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

“…Identifying fracture development patterns in coal seams is critical for assessing seam permeability and the effectiveness of techniques like hydraulic fracturing. As mining depths increase, the complexity of fracture formation under the influence of in-situ stress and tectonic forces grows, limiting the accuracy of traditional detection methods in tracing fracture flow paths during hydraulic operations. …”
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SSOD-QCTR: Semi-Supervised Query Consistent Transformer for Optical Remote Sensing Image Object Detection by Xinyu Ma, Pengyuan Lv, Xunqiang Gong

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Double-transmitting and Sextuple-receiving Borehole Transient Electromagnetic Method and Experimental Study by Bo Wang, Shengdong Liu, Shining Li, Fubao Zhou

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Research on identification method of bituminous coal based on terahertz time-domain spectroscopy by Shuguang Miao, Shuguang Miao, Xiang Liu, Xiang Liu, Yue Zhang, Yue Zhang, SuWen Li, SuWen Li, Enjie Ding, Enjie Ding

“…The traditional coal type identification method needs to measure a variety of parameters of coal samples to obtain more accurate results, and the detection process is time-consuming and laborious, and can not realize the rapid identification of coal types. …”
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Uncovering causal graphs in air traffic control communication logs for explainable root cause analysis by Agneza Krajna, Ana Šarčević, Mario Brčić, Kristijan Poje

“…We have developed a hybrid approach that combines process mining techniques, in particular the Heuristic Miner algorithm for initial graph construction, with statistical filtering methods to improve analysis accuracy. …”
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Modeling Political Discourse in Indonesia’s 2024 Election Using Unsupervised Machine Learning by Malikhatul Ibriza, Maya Rini Handayani, Wenty Dwi Yuniarti, Khothibul Umam

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Safety evaluation of baloxavir marboxil: analysis and discussion utilizing real adverse events from the FAERS database by Xiaolong Lai, Liuyin Jin, Yixia Zhou, Yang Li, Lindan Sheng, Guomin Xie, Jianjiang Fang

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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

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Next Arrival and Destination Prediction via Spatiotemporal Embedding with Urban Geography and Human Mobility Data by Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, Kunpeng Liu

“…There are many studies on spatiotemporal data mining. As we know, arrival prediction or regional function detection encompasses important tasks for traffic management and urban planning. …”
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Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

“…This dissertation focuses on detecting anomaly-based intrusion into the Internet of Things using data mining. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

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