Photovoltaic fault detection algorithm using ensemble learning enhanced with deep neural network feature engineering by Maryam Parvin, Hossein Yousefi, Behnam Mohammadi-Ivatloo

“…The incorporation of the developed technique led to notable fault detection accuracy enhancement across EL methods, with increase of 4.9 %, 5.3 %, 4.9 %, and 3.4 % in accuracy for detecting line-to-line, open-circuit, short-circuit, and partial shading faults, respectively. …”
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Analysis and predictive validity of Kelantan River flow using RQA and time series analysis by Abdul Majid Mohammed, M. Hafidz Omar, M. S. M. Noorani

“…The study presents the results of the application of nonlinear and linear time series analysis on the river stream-flow data for flood detection and prediction of future values. The prediction results on a hold-out sample of 2014 data by the methods based on RQA and ARIMA have been compared and it was revealed that the ARIMA model provided a better forecast. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

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Climate-driven models reveal temporal trends in Aedes breeding: implications for outbreak preparedness and control interventions by Jewelna Akorli, Stephen K. D. Oware, Derrick Baah Sackitey, Reuben M. Pul, Nukunu E. Akyea-Bobi, Samuel S. Akporh, Godwin K. Amlalo, Joseph H. N. Osei, Helena A. Boakye, Mufeez Abudu, Esinam A. Akorli, Kwadwo K. Frempong, Sellase Pi-Bansa, Millicent Opoku, Samuel K. Dadzie

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MONITORING OF CHILDREN’S CANCER INCIDENCE IN THE REPUBLIC OF DAGESTAN by M. G. Daudova, G. M. Abdurakhmanov, A. G. Gasangadzhieva, T. N. Ashurbekova

“…Aim. Monitoring and forecasting of malignant tumors of the child population of the Republic of Dagestan.Methods. …”
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Quality Control Technique for Ground-Based Lightning Detection Data Based on Multi-Source Data over China by Yongfang Xu, Yan Shen, Xiaowei Jiang, Fengyun Tian, Lei Cao, Nan Wang

“…The processed lightning data are further merged with CREF and generated a 1 km and 6 min resolution lightning location dataset, which significantly improves the accuracy of ground-based lightning detection and supports operational forecasting of severe convective weather.…”
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AI-based orchard monitoring at night: Enhancing sustainable fruit production through real-time apple detection by Kutyrev Alexey, Khort Dmitry, Smirnov Igor, Zubina Valeria

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Combining Endpoint Detection and One-Dimensional CNN-Based Classifier for Non-Technical Loss Screening in Smart Grids by Ping-Tzan Huang, Feng-Chang Gu, Chia-Hung Lin, Chao-Lin Kuo, Neng-Sheng Pai, Yung-Chang Luo, Wen-Cheng Pu

“…The EPD method is employed to preliminarily detect discrepancies between metering data and historical records, focusing on the time-domain variations in electricity consumption. …”
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AI-driven discovery of minimal sepsis biomarkers for disease detection and progression: precision medicine across diverse populations by Qiyuan Su, Jingtao Huang, Yunlong Zhang, Zhou Liu, Zhihua Lv, Chunming Zhang, Chengxiu Ling, Hanwen Su, Liying Zhan, Zhengjun Zhang, Zhengjun Zhang, Zhengjun Zhang

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Ship behavior prediction and anomaly detection using LSTM-DCross model based on AIS and remote sensing data by Wanrong Wu, Dongmei Yan, Jun Yan, Xiaowei Wang

“…The study addresses two critical scenarios: GPS failure and complete AIS failure, utilizing two prediction methods – joint prediction and historical data-based prediction – to forecast the target ship behaviour. …”
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Towards Automated Real-Time Detection and Location of Large-Scale Landslides through Seismic Waveform Back Projection by En-Jui Lee, Wu-Yu Liao, Guan-Wei Lin, Po Chen, Dawei Mu, Ching-Weei Lin

“…Compared to local earthquake recordings, the recordings of landslides usually show longer durations and lack distinctive P and S wave arrivals; therefore, the back projection method is adopted for the landslide detection and location. …”
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A machine learning-based detection, classification, and quantification of marine litter along the central east coast of India by Mallela Pruthvi Raju, Subramanian Veerasingam, V. Suneel, Fahad Syed Asim, Hana Ahmed Khalil, Mark Chatting, P. Suneetha, P. Vethamony

“…This study aims to understand the spatial distribution of marine litter along the central east coast of India using the conventional method and AI based object detection approach. From the field survey, a total of 4588 marine litter items could be identified, with an average of 1.147 ± 0.375 items/m2. …”
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Developing a Prediction Model for Real-Time Incident Detection Leveraging User-Oriented Participatory Sensing Data by Md Tufajjal Hossain, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic

“…Traditional methods relying on stationary technologies are often costly and provide limited coverage, prompting the exploration of crowdsourced data such as Waze. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Currently, numerous physical methods exist to evaluate and forecast blood cancer utilizing the microscopic health information of white blood cell (WBC) images that are stable for prediction and cause many deaths. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…The proposed method provides a viable alternative for secure and efficient credit card fraud detection in the contemporary digital economy, characterized by high accuracy and real-time scalability.…”
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A comprehensive evaluation of a novel targeted-sequencing workflow for Mycobacterium species identification and anti-tuberculosis drug-resistance detection by Xichao Ou, Shaojun Pei, Shaojun Pei, Hongru Li, Zhonghua Qin, Richard Anthony, Jichun Wang, Zexuan Song, Ruida Xing, Lixia Zhang, Chong Teng, Hui Xia, Yang Zhou, Yuanyuan Song, Yang Zheng, Shengfen Wang, Bing Zhao, Yanlin Zhao

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Precise irrigation of dryland cotton under canal irrigation system constraints based on the CERES-CROPGRO-Cotton model by Lei Wang, Liang He, Weihong Sun, Chen Gao, Zhenxiang Han, Meiwei Lin

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A Bootstrapping Convolutional Neural Network Technique for Optimizing Automated Detection of Equatorial Plasma Bubbles by Optical All‐Sky Imagers by Daniel Okoh, Claudio Cesaroni, Babatunde Rabiu, Kazuo Shiokawa, Yuichi Otsuka, Samuel Ogunjo, Aderonke Akerele, John Bosco Habarulema, Bruno Nava, Yenca Migoya‐Orué, Punyawi Jamjareegulgarn, Adeniran Seun, Ogechi Adama, George Ochieng, James Ameh, Adero Awuor, Paul Baki

“…Abstract Equatorial plasma bubbles (EPBs) disrupt satellite‐based communication and navigation systems, particularly in equatorial regions. Reliable detection and classification of EPBs from all‐sky imager (ASI) images are essential for accurate space weather monitoring and forecasting. …”
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A Trust Based Anomaly Detection Scheme Using a Hybrid Deep Learning Model for IoT Routing Attacks Mitigation by Khatereh Ahmadi, Reza Javidan

“…We have formulated the problem of routing behavior anomaly detection as a time series forecasting method, which is solved based on a stacked long–short term memory (LSTM) sequence to sequence autoencoder; that is, a hybrid training model of recurrent neural networks and autoencoders. …”
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Detecting and classifying metabolic activity of Staphylococcus aureus by D2O-probed single-cell Raman spectroscopy and machine learning by Li Liu, Bing Feng, Yang Song, Taijie Zhan, Dongxin Liu, Jia Ding, Xiaohui Song, Jian Xu, Duochun Wang, Qiang Wei

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