Microseismic activity and subsurface structural characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array by Qinghan Kong, Ziqiang Lü, Guangwei Zhang, Li Ma

“…In this study, we deployed a new linear dense seismic array in the Laohutai coal mine, and detected 324 new microseismic events by applying the Match and Locate method. …”
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Large tolerance for incidence angle in Terahertz parametric detection by Hyuga Inoue, Sota Mine, Kodo Kawase, Kosuke Murate

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High-Sensitivity Determination of K, Ca, Na, and Mg in Salt Mines Samples by Atomic Emission Spectrometry with a Miniaturized Liquid Cathode Glow Discharge by Jie Yu, Zhichao Zhang, Quanfang Lu, Duixiong Sun, Shuwen Zhu, Xiaomin Zhang, Xing Wang, Wu Yang

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Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

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Online Outlier Detection for Time-varying Time Series on Improved ARHMM in Geological Mineral Grade Analysis Process by Jianjun Zhao, Junwu Zhoub, Weixing Su, Fang Liu

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Implementasi Data Mining untuk Deteksi Penyakit Ginjal Kronis (PGK) menggunakan K-Nearest Neighbor (KNN) dengan Backward Elimination by Ikhsan Wisnuadji Gamadarenda, Indra Waspada

“…The process of this research uses work methods of Data Mining Knowledge Data Discovery (KDD). …”
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Post-Marketing Pharmacovigilance of Canakinumab from the FDA Adverse Event Reporting System (FAERS) by Weidong Zhang, Yunzhou Chen, Zeyu Yao, Mengling Ouyang, Minghui Sun, Shupeng Zou

“…Clinical prioritization of the detected signals was assessed with a semiquantitative score method. …”
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Chemical analysis of low grade gold from mine tailings after size fractionation and acid digestion using reverse aqua regia by Kedibone Nicholine Mashale, James Sehata, Napo Godwill Ntsasa, Luke Chimuka, James Tshilongo

“…Abstract The growing interest in reprocessing mine tailings for gold recovery requires a suitable quantification method that is accurate, rapid, and not harsh to the environment. …”
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Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit by Mohammed G. Albayati, Jalal Faraj, Amy Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran

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Preparation and application of specific chicken yolk antibodies in detecting Brucella by Xinru Qi, Shiqi Zhao, Qianhan Huang, Yun Wang, Qichuan Pei, Yixiao Chen, Dehui Yin, Dehui Yin, Tiansong Zhan, Tiansong Zhan

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Detection and tracking of carbon biomes via integrated machine learning by S. Mohanty, S. Mohanty, L. Patara, D. Kazempour, P. Kröger

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Mining and evaluation of security alert signals of neuroprotective agents based on the Jinan adverse event reporting system database: a retrospective study by Yu-yao Guan, Jing Yang, Ying-mei Qi, Chao Song, Lei Zheng

“…Using the PRR, ROR, MHRA, and BCPNN methods, 81, 57, and 68 signals were detected, respectively. …”
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Detection of Rail Defects Using Phased Array Ultrasonic Technique by Phrommahakul Nichapa, Kongpuang Manwika, Sani Suhaidee, Katib Anas, Sulong Fittriya

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Detection of conveyor belt defects using unified diagnostic criteria. by Gerike P.B., Gericke B.L.

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Microblog Sentiment Orientation Detection Using User Interactive Relationship by Liang Wang, Mei Wang, Xinying Guo, Xuebin Qin

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Advances in the Detection and Identification of Bacterial Biofilms Through NIR Spectroscopy by Cristina Allende-Prieto, Lucía Fernández, Pablo Rodríguez-Gonzálvez, Pilar García, Ana Rodríguez, Carmen Recondo, Beatriz Martínez

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Structural detection of goaf based on three-dimensional ERT technology by Nan Jia

“…Goaf, as an underground space formed after mining, the accurate detection of its structure is crucial to mine safety and the stability of underground engineering. …”
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An Approach for Network Outage Detection from Drive-Testing Databases by Jussi Turkka, Fedor Chernogorov, Kimmo Brigatti, Tapani Ristaniemi, Jukka Lempiäinen

“…The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. …”
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Sarcasm Detection in Sentiment Analysis Using Recurrent Neural Networks by Maneeha Rani, Muhammad Babar, Syed Zafar Ali Shah, Ali Abbas, Muhammad Sohail Hayat, Shafiq Ahmad, Sadaqat Jan

“…This article examines the impact of various preprocessing methods on sentiment classification. It presents a sarcasm detection–based sentiment analysis model that utilises an effective preprocessing system and a robust technique for identifying sarcastic text. …”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…The burden of biotic stresses pose serious threat to crop productivity, therefore, early and accurate detection of plant diseases is essential. Conventional methods exclusively rely on human expertise, and are often labor-intensive, time-consuming, and prone to errors. …”
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