More Accurate Constraints for Self-Supervised Learning in Remote Sensing Images-Based Object Detection by Shangdong Zheng, Zebin Wu, Yang Xu, Qian Liu, Zhihui Wei

“…In this article, we focus on generating more accurate constraints by excavating the intercorrelation between fully and weakly supervised learning (WSL) to improve the performance of object detection in RSIs. Initially, WSL assigns the pseudoinstance-level annotations for the high-scoring positive bags to model the detector, which can be regarded as a weakened version of the region proposal network (RPN). …”
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Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0 by Julia L. Blanchard, Camilla Novaglio, Olivier Maury, Cheryl S. Harrison, Colleen M. Petrik, Denisse Fierro‐Arcos, Kelly Ortega‐Cisneros, Andrea Bryndum‐Buchholz, Tyler D. Eddy, Ryan Heneghan, Kelsey Roberts, Jacob Schewe, Daniele Bianchi, Jerome Guiet, P. Daniel van Denderen, Juliano Palacios‐Abrantes, Xiao Liu, Charles A. Stock, Yannick Rousseau, Matthias Büchner, Ezekiel O. Adekoya, Cathy Bulman, William Cheung, Villy Christensen, Marta Coll, Leonardo Capitani, Samik Datta, Elizabeth A. Fulton, Alba Fuster, Victoria Garza, Matthieu Lengaigne, Max Lindmark, Kieran Murphy, Jazel Ouled‐Cheikh, Sowdamini S. Prasad, Ricardo Oliveros‐Ramos, Jonathan C. Reum, Nina Rynne, Kim J. N. Scherrer, Yunne‐Jai Shin, Jeroen Steenbeek, Phoebe Woodworth‐Jefcoats, Yan‐Lun Wu, Derek P. Tittensor

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Ensemble deep learning and anomaly detection framework for automatic audio classification: Insights into deer vocalizations by Salem Ibrahim Salem, Sakae Shirayama, Sho Shimazaki, Kazuo Oki

“…This segmentation method relies on acoustic anomaly detection and can markedly improve computational efficiency, facilitating deployment in environments with limited resources. …”
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Mapping the bathymetry of coral islands with the Landsat series: Quantitative evaluation of the consistency and temporal change detection by Yongming Liu, Shilin Tang, Yuye Huang, Qidong Chen, Longhai Xiong, Sufen Wang

“…Therefore, this study initially quantitatively evaluated the consistency of Landsat series data-derived bathymetry data over the South China Sea, which has a notable distribution of coral islands. …”
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Genomics-based timely detection of dengue virus type I genotypes I and V in Uruguay by Noelia Morel, Marta Giovanetti, Vagner Fonseca, Analía Burgueño, Mauricio Lima, Emerson Castro, Natália R. Guimarães, Felipe C.M. Iani, Victoria Bormida, Maria Noel Cortinas, Viviana Ramas, Leticia Coppola, Ana I. Bento, Alexander Rosewell, Leticia Franco, Jairo Mendez Rico, José Lourenço, Luiz Carlos Junior Alcantara, Hector Chiparelli

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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…Traditional quality-related fault detection methods cannot detect abnormalities on time, leading to the transfer and evolution of faults between different operational units of industrial processes. …”
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Early Detection and Intervention of Preschool-Aged Children Using Android-Based Monitoring during the COVID-19 Pandemic in Central Java by Triwiji Lestari, Elisa

“…The utilization of the Sahabat Bunda application emerges as a valuable tool for early detection of developmental issues and to foster the growth of preschool-age children. …”
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Study on User Fraud Identification of PV Expansion Based on a Bottom-Up Approach of a DELM Algorithm Improved by SSA for a Power Distribution Network by Wang Jinpeng, Wei Haojie, Dou Shunyao, Jeremy-Gillbanks, Zhao Xin

“…In order to accurately identify users engaged in the fraudulent expansion of illegally distributed photovoltaic (PV) capacity, this paper initially leverages the similarity of the PV power generation output in the same region. …”
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Automated Detection of coronaL MAss Ejecta origiNs for Space Weather AppliCations (ALMANAC) by Thomas Williams, Huw Morgan

“…This paper presents a method that detects and estimates the central coordinates of CME eruptions in Extreme Ultraviolet data, with the dual aim of providing an early alert, and giving an initial estimate of the CME direction of propagation to a CME geometrical model. …”
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Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging by JaeYoung Kang, JunYoung Park, YoungJae Kim, BumJoon Kim, SangHee Ha, KwangGi Kim

“…Three deep-learning models, convolutional neural network, EfficientNet-B2, and DenseNet121, were used to compare CT&CI and DWI for detecting anterior circulation LVO. Results A total of 456 patients, 228 patients with LVO [68.91 ± 12.84 years, 63.60% male; initial National Institutes of Health Stroke Scale (NIHSS) score: median 11 (7–14)] and without LVO [67.06 ± 12.29 years, 64.04% male; initial NIHSS score: median 2 (1–4)] were enrolled. …”
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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…Therefore, developing innovative detection frameworks that can effectively analyze and interpret these complex patterns has become critical. …”
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Effectiveness of legal regulations in preventing fraud in bankruptcy proceedings in the Republic of Croatia by Jović Zorica

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A dual-adaptive stochastic reinforcement chimp optimization algorithm for fire detection and multidimensional problem solving by Ziyang Zhang, Lingye Tan, Diego Martín, Leren Qian, Mohammad Khishe, Pradeep Jangir

“…As an illustrative application of this joint approach, a computer-aided fire detection task is performed using a deep convolutional neural network combined with TASR-CHOA. …”
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Advancements in surface-enhanced femtosecond stimulated Raman spectroscopy: exploring factors influencing detectability and shapes of spectra by Pyrcz Patryk, Gawinkowski Sylwester

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Determination of Serum CA125 and evaluate its efficiency as screening tool For Early Detection of Ovarian Tumors by Baghdad Science Journal

“…However in correlation with stages the results showed that Patients with stage II have highly significant differences in level of serum CA125 compare with stage I in and stage III.CA125 showed low sensitivity to detect stage I carcinoma of the ovary which limits its value as an initial screening tool therefore combining of CA125 with other markers might enable improved early detection of ovarian cancer as compared with use of this marker alone.…”
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Community Detection Based on Density Peak Clustering Model and Multiple Attribute Decision-Making Strategy TOPSIS by Jianjun Cheng, Xu Wang, Wenshuang Gong, Jun Li, Nuo Chen, Xiaoyun Chen

“…Community detection is one of the key research directions in complex network studies. …”
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Top-Down and Bottom-Up Cues Based Moving Object Detection for Varied Background Video Sequences by Chirag I. Patel, Sanjay Garg, Tanish Zaveri, Asim Banerjee

“…Moving object detection is a crucial and critical task for any surveillance system. …”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…This paper presents a novel collaborative data processing framework that enhances anomaly detection in ICS by integrating the Grey Wolf Optimizer with Autoencoders. …”
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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The dataset used comprises 9,841 Ethereum transactions across 52 initial fields (reduced to 17 relevant features), encompassing both legitimate and fraudulent records. …”
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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

“…This paper proposes a semi-supervised query consistent transformer for optical remote sensing image object detection (SSOD-QCTR). A detection transformer (DETR)-like model is adopted as the basic network, and it follows the teacher–student training scheme. …”
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