Intelligent Cyber-Attack Detection in IoT Networks Using IDAOA-Based Wrapper Feature Selection by Mohammed Abdullah, Ryna Svyd

“…This study presents an innovative framework that integrates the Improved Dynamic Arithmetic Optimization Algorithm (IDAOA) with a Bagging technique to enhance the performance of intelligent cyber intrusion detection systems. The IDAOA serves as a wrapper-based feature selection method, optimizing the identification of the most impactful features while balancing local exploration and global exploitation. …”
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Incidentally detected muscular sarcocystis with ewing's sarcoma: A case report of a rare combination by Kavita Somani, Pretty Singh

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SAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing. by Shuai Pang, Chaochao You, Min Zhang, Baojie Zhang, Liyou Wang, Xiaolong Shi, Yu Sun

“…Interfered by external factors, the receptive field limits the traditional CNN multispectral remote sensing building change detection method. It is difficult to obtain detailed building changes entirely, and redundant information is reused in the encoding stage, which reduces the feature representation and detection performance. …”
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Detection method for underwater acoustic communication signals based on adaptive morphological filtering and Hough transform by WANG Yang, SHEN Tongsheng, WANG Tao, QIAO Gang, ZHOU Feng

“…In order to solve the problem of underwater channel environment and severe noise interference in communication signal detection, based on structural characteristic (SC) of underwater acoustic communication signals, a detection method for underwater acoustic communication signals based on adaptive morphological filtering (AMF) and Hough transform (HT) was proposed. …”
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Long PCR-Based Technique for Detection of Transposon Insertions In and Around Cloned Genes of Drosophila melanogaster by Alexey V. Gordadze, Helen Beneš

“…Careful primer design is critical to the success of detection. Under the conditions developed, we detected many local transposable element hopping events, averaging about 3–4 per 50 flies, with the size of the PCR products being in the range of 100–6000 bp. …”
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Hybrid Unsupervised Machine Learning for Insurance Fraud Detection: PCA-XGBoost-LOF and Isolation Forest by Natsai Chapwanya, Karikoga Norman Gorejena

“…This hybrid approach aims to improve the detection accuracy of insurance fraud by combining the strengths of each individual algorithm. …”
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Co-trimoxazole-dependent autoagglutinin with anti-Sda specificity detected only by column agglutination technique by Revathy K. Nair, Akshay Batra, Mayuri Vekariya, Priya Radadiya, Sanmukh Ratilal Joshi

“…MATERIALS AND METHODS: The gel cards used for serological compatibility tests were of commercial sources (Ortho Diagnostics, USA and Tulip Diagnostics, India), soluble antigens used for antibody neutralization tests were locally obtained, and certain antibiotics and dialysis bags were procured from the local market. …”
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Quantitative study on weak magnetic detection defects of metal structure based on IWOA-BP algorithm by FAN Meng, TONG Bo, GAO Chen, YAO Zhongyuan, ZHANG Yu, HU Bo

“…Metal structures in service are prone to crack defects under tensile and compressive fatigue load.In order to realize quantitative detection of metal structures’ crack defects, a quantitative analysis method of metal structures’ weak magnetic detection based on back propagation (BP) neural network was studied. …”
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Unearthing Perspectives: Exploring the views of heritage professionals and hobbyists on the current state of metal detecting in Estonia by Tuuli Kurisoo, Maria Smirnova

“…We asked how local archaeologists and metal detectorists perceive the status quo, what they find positive and negative, and what they would like to see changed. …”
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Detection of Forest Removal in PRODES Mata Atlântica: Discussion on the Transition from Visual to Semiautomatic Interpretation by Felipe de Oliveira Passos, Bruno Vargas Adorno, Rodrigo Silva do Carmo, Carla Mourão, Silvana Amaral

“…We emphasize considering local and seasonal factors to accurately detect the removal of the natural vegetation in the Atlantic Forest and we recommend further testing of algorithms based on time series images. …”
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SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture by S.A. Imashev, A.V. Aladev

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Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer's disease detection. by Hongjie Yan, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

“…Alzheimer's disease (AD) is a leading cause of disability worldwide. Early detection is critical for preventing progression and formulating effective treatment plans. …”
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Explainable AI for Forensic Analysis: A Comparative Study of SHAP and LIME in Intrusion Detection Models by Pamela Hermosilla, Sebastián Berríos, Héctor Allende-Cid

“…To address this challenge, the integration of explainable artificial intelligence (XAI) into forensic cybersecurity offers a powerful approach to enhancing transparency, trust, and legal defensibility in network intrusion detection. This study presents a comparative analysis of SHapley Additive exPlanations (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) applied to Extreme Gradient Boosting (XGBoost) and Attentive Interpretable Tabular Learning (TabNet), using the UNSW-NB15 dataset. …”
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The Detection and Classification of Grape Leaf Diseases with an Improved Hybrid Model Based on Feature Engineering and AI by Fatih Atesoglu, Harun Bingol

“…This value shows that our model can be used in the detection of grape diseases.…”
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Detecting non-neutral modules in species co-occurrence data: principles and application to plant communities by Fabien Laroche, Bodil Ehlers

“…Approaches that focus on detecting non-random spatial covariance between species occurrences are limited by the fact that spatial patterns can deviate from randomness for many reasons. …”
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Enhanced Video Anomaly Detection Through Dual Triplet Contrastive Loss for Hard Sample Discrimination by Chunxiang Niu, Siyu Meng, Rong Wang

“…Learning discriminative features between abnormal and normal instances is crucial for video anomaly detection within the multiple instance learning framework. …”
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Immunohistochemical Detection of Coxiella burnetii in Cattle Spleen Organs from Ampel Slaughterhouse, Boyolali Regency by Eko Prasetyo Nugroho, Agus Setiyono, Upik Kesumawati Hadi, Wiwin Winarsih, Dwi Astuti

“…These results indicate that Q-fever was found in local cattle in Boyolali Regency.…”
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Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…In this study, we propose a novel, automated pipeline that leverages local morphometry features, particularly multi-furcation clusters, to detect soma after initial fiber tracing in high- resolution, large-scale whole mouse brain images. …”
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XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI by M. Adnan Alvi, Zunera Jalil

“…Ransomware remains a persistent and evolving cybersecurity threat, demanding advanced and adaptable detection strategies. Traditional methods often fall short as signature-based systems are easily circumvented by emerging ransomware variants, while techniques like obfuscation and polymorphism add complexity to the detection process. …”
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CATransU-Net: Cross-attention TransU-Net for field rice pest detection. by Xuwei Lu, Yunlong Zhang, Congqi Zhang

“…Accurate detection of rice pests in field is a key problem in field pest control. …”
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