Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

“…The approach of this research is to use the spiking neural network (SNN) with a group of sparks to detect money laundering, but due to the weakness in accurately identifying the characteristics of money laundering, the maximum entropy principle (MEP) method is also used. …”
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Forecasting Technology Trends through the Gap Between Science and Technology: The Case of Software as an E-Commerce Service by Tugrul Daim, Esraa Bukhari, Dana Bakry, James VanHuis, Haydar Yalcin, Xiaoli Wang

“…This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service (SaaS) case study.  …”
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Design of tomato picking robot detection and localization system based on deep learning neural networks algorithm of Yolov5 by Jianwei Zhao, Wei Bao, Leiyu Mo, Zhiting Li, Yushuo Liu, Jiaqing Du

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Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs by Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubsky, Cleo-Aron Weis

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Discriminant canonical analysis as a tool to determine traces of endangered native hen breed introgression through egg hatchability phenomics by Antonio González Ariza, Francisco Javier Navas González, Ander Arando Arbulu, José Manuel León Jurado, Juan Vicente Delgado Bermejo, María Esperanza Camacho Vallejo

“…Interbreed and varieties proximity was evaluated using Mahalanobis distances representation and data mining cross-validation allowed to detect genetic introgression between different genotypes. …”
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Highly sensitive molecular assay based on Identical Multi-Repeat Sequence (IMRS) algorithm for the detection of Trichomonas vaginalis infection. by Clement Shiluli, Shwetha Kamath, Bernard N Kanoi, Racheal Kimani, Bernard Oduor, Hussein M Abkallo, Michael Maina, Harrison Waweru, Moses Kamita, Nicole Pamme, Joshua Dupaty, Catherine M Klapperich, Srinivasa Raju Lolabattu, Jesse Gitaka

“…This study aimed to evaluate the use of identical multi-repeat sequences (IMRS) as amplification primers for developing ultrasensitive diagnostic for T. vaginalis.<h4>Methods</h4>We used genome-mining approaches based on identical multi-repeat sequences (IMRS) algorithm to identify sequences distributed on the T. vaginalis genome to design a primer pair that targets a total of 69 repeat sequences. …”
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Automated Detection of Tailing Impoundments in Multi-Sensor High-Resolution Satellite Images Through Advanced Deep Learning Architectures by Lin Qin, Wenyue Song

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Typical characteristics of deep coal seams with high outburst risk, outburst inducing mechanism and prevention measures by Baiquan LIN, Wei YANG, Tong LIU

“…Coal mining in China has gradually entered deep levels. …”
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Deep learning for real-time P-wave detection: A case study in Indonesia's earthquake early warning system by Adi Wibowo, Leni Sophia Heliani, Cecep Pratama, David Prambudi Sahara, Sri Widiyantoro, Dadan Ramdani, Mizan Bustanul Fuady Bisri, Ajat Sudrajat, Sidik Tri Wibowo, Satriawan Rasyid Purnama

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Automatic Controversy Detection Based on Heterogeneous Signed Attributed Network and Deep Dual-Layer Self-Supervised Community Analysis by Ying Li, Xiao Zhang, Yu Liang, Qianqian Li

“…In this study, we propose a computational approach that applies text mining and deep learning to conduct controversy detection on social media platforms. …”
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NH4 Modelling with ARIMA and LSTM by Hanna Arini Parhusip, Suryasatriya Trihandaru, Johanes Dian Kurniawan

“…AI-Mining is a prototype designed to detect various environmental gases, including CO2, NH3, NH4, and hydrogen, alongside temperature, pressure, and humidity. …”
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Research on visual positioning method of roadheader based on infrared LED line-type target by Jicheng WAN, Xuhui ZHANG, Wenjuan YANG, Chao ZHANG, Mengyu LEI, Yuyang DU, Zheng DONG, Junhao YANG

“…Experiments show that this method effectively overcomes the influence of low illumination, stray light background and occlusion, and has an important reference for the spatial long-distance pose detection of underground tunnels in coal mines.…”
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Discovery and segmentation method in micro-blog topics based on public emotional engagement analysis by Chunhua JU, Fuguang BAO, Junyan DAI

“…To improve the discovery efficiency and quality of micro-blog topic,a method of rapid discovery and segmentation in micro-blog topics based on public emotional engagement analysis was proposed,it would prompt evolution of the topics,then generate new topics and gain emotional change trend.Firstly,common emotional words were mined from corpus to build emotional thesaurus based on emotional word dictionary and TFDF.Then,emotional text was extracted quickly and sigmoid function was utilized to detect the intensive period of emotional engagement,ensuring the validity of topic mining.Besides,an improved adaptive FCM was used to cluster and discover topics.The experimental results show that this method can enhance the efficiency and quality of topic discovery in mobile environment.…”
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A hybrid zero-reference and dehazing network for joint low-light underground image enhancement by Qing Du, Shihao Zhang, Zhipeng Wang, Jincheng Liang, Shijiao Yang

“…However, existing image enhancement methods relying on synthesized datasets are not suitable for improving images in real underground mine settings. …”
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A systematic review comparing surveillance recommendations for the detection of recurrence following surgery across 16 common cancer types by Juliet A Usher-Smith, Sabrina H Rossi, Grant D Stewart, Anita Balakrishnan, Eleanor White, Hannah Harrison, Benjamin W Lamb, Georgia Stimpson, Faris Khan, Tanzil Rujeedawa, Aufia Espressivo, Bhumi K Shah, Carley Batley, Chiara Re, Eamonn Gilmore, Sofia Kler-Sangha, Z Sienna Pan, Laura Succony, Shi Lam, Bincy M Zacharia, Rebecca Lucey, Alexander J P Fulton, Dimana Kaludova

“…Objectives Identify and compare guidelines making recommendations for surveillance to detect recurrence in 16 common solid cancers after initial curative treatment in asymptomatic patients.Methods and analysis We conducted a systematic review, combining search results from two electronic databases, one guideline organisation website (NICE), expert consultation and manual searching. …”
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Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…This study uses a public dataset categorized based on the Student-life Stress Inventory (SSI), which includes psychological, physiological, social, environmental, and academic factors. Data mining is often used to detect diseases, one of which is the Random Forest algorithm. …”
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Real-Time Driving State Identification and Collision Risk Detection in Dump Trucks: A GPS Streaming Data Approach by C. Xie, Y. Zheng, Y. Zhao, L. Zhang, L. Zhao, W. Wang, X. Li

“…To address this, this paper proposes a method for identifying driving states and detecting collision risks for dump trucks based on real-time GPS stream data. …”
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Measurement Method for Plane Transverse Vibration of Hoisting Steel Wire Rope by Hough Transform by YAO Jiannan; XING Qiang; XU Haoran

“…Subsequently, a precision solving method to get the measured point on the line is developed based on the results of Hough transform; then, camera calibration is done with edge detection, on the basis of the region of interest, the dynamic displacement of the measured point is acquired by pixel traversing. …”
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Single-Phase High Frequency Inverter Narrow Pulse High-Quality Modulation Method by ZHANG Guopeng, CHEN Dongan, TAO Haijun, LIU Yonghui, MA Yuan

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Risk Assessment of Linezolid-Associated Neurological Adverse Drug Reactions Based on the Food and Drug Administration Adverse Event Reporting System Database by Yin J, Chen X, Sun J, Wang Y, Wang K

“…These findings provide essential guidance for the safe clinical use of linezolid.Keywords: linezolid, signal detection, neurotoxicity, adverse drug reaction…”
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