Using Multimodal Foundation Models for Detecting Fake Images on the Internet with Explanations by Vishnu S. Pendyala, Ashwin Chintalapati

“…This paper details experiments using four multimodal foundation models, Llava, CLIP, Moondream2, and Gemini 1.5 Flash, to detect fake images. Explainable AI techniques such as Local Interpretable Model-Agnostic Explanations (LIME) and removal-based explanations are used to gain insights into the detection process. …”
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An intrusion detection mechanism for IPv6-based wireless sensor networks by Min Wei, Chunmeng Rong, Erxiong Liang, Yuan Zhuang

“…The intrusion detection algorithm uses the normal profile to perform real-time detection of network traffic data to achieve rapid detections connecting many devices in a wireless sensor network. …”
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High Sensitive Methods for Health Monitoring of Compressor Blades and Fatigue Detection by Mirosław Witoś

“…The diagnostic and research aspects of compressor blade fatigue detection have been elaborated in the paper. The real maintenance and overhaul problems and characteristic of different modes of metal blade fatigue (LCF, HCF, and VHCF) have been presented. …”
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Anomaly traffic detection method based on data augmentation and feature mining by AN Yishuai, FU Yu, YU Yihan, LIU Taotao

“…To address the limitations of existing anomaly traffic detection methods, such as insufficient recognition accuracy for minority classes and limited deep feature extraction capabilities, a novel anomaly traffic detection method based on data augmentation and feature mining was proposed. …”
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Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance by Gao Chunxian, Zeng Zhe, Liu Hui

“…In this paper, we present a hybrid method to efficiently detect moving vehicle in aerial videos. Firstly, local feature extraction and matching were performed to estimate the global motion. …”
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Unsupervised Learning With Hybrid Models for Detecting Electricity Theft in Smart Grids by Ali Jaber Almalki

“…The study advances the discipline by providing an original model detection and demonstrating its potential application in practical scenarios.…”
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Disease Detection in Tropical Tomato Leaves via Machine Learning Models by Benjamin Kommey, Elvis Tamakloe, Daniel Opoku, Tibilla Crispin, Jeffrey Danquah

“…This study addresses the significant threat of tomato diseases to production in Ghana, which has led to substantial yield and quality losses, adversely affecting the livelihoods of local farmers and the availability of this essential dietary staple. …”
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Structure-Enhanced Prompt Learning for Graph-Based Code Vulnerability Detection by Wei Chang, Chunyang Ye, Hui Zhou

“…To further enhance representational capacity, we incorporate the pretrained model CodeBERTScore, a syntax-aware encoder, and Graph Neural Networks, enabling comprehensive modeling of both local syntactic features and global structural dependencies. …”
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Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform by Andre Luis Vinagre Pereira, Aparecido Carlos Gonçalves, Rubens Ribeiro, Fábio Roberto Chavarette, Roberto Outa

“…The continuous wavelet transforms accurately identified faults in the gear teeth, and it was possible to detect in which tooth the fault was occurring.…”
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A Community Detection Algorithm Based on Topology Potential and Spectral Clustering by Zhixiao Wang, Zhaotong Chen, Ya Zhao, Shaoda Chen

“…In addition, the new algorithm can automatically get the optimal community number from the local maximum potential nodes. Experiments results showed that the new algorithm gave excellent performance on artificial networks and real world networks and outperforms other community detection methods.…”
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Analysing Threshold Value in Fire Detection Algorithm Using MODIS Data by Bowo E. Cahyono, Peter Fearns, Brendon McAtee

“…Improve and adjustment of fire detection algorithm is needed to get the best accuracy result proper to local or regional conditions. …”
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An Improved Topology-Potential-Based Community Detection Algorithm for Complex Network by Zhixiao Wang, Ya Zhao, Zhaotong Chen, Qiang Niu

“…Topology potential theory is a new community detection theory on complex network, which divides a network into communities by spreading outward from each local maximum potential node. …”
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Cotton Disease Detection Using TensorFlow Machine Learning Technique by Sandeep Kumar, Rajeev Ratan, J. V. Desai

“…Farmers produce many seasonal local crops based on their location. Cotton is the most produced crop across India. …”
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From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering by Armelle Brun, Sylvain Castagnos, Anne Boyer

“…We propose to take inspiration from local community detection algorithms to form communities of users and deduce the set of mentors of a given user. …”
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Detection of Landslide‐Generated Tsunami by Shipborne GNSS Precise Point Positioning by Adam E. Manaster, Anne F. Sheehan, Dara E. Goldberg, Katherine R. Barnhart, Ethan H. Roth

“…The GNSS PPP data from the R/V Sikuliaq, a research ship of the University of Alaska Fairbanks, were processed to detect a small local tsunami generated by the Lowell Point landslide, which occurred near Seward, Alaska, on 8 May 2022 (UTC). …”
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Edge-guided feature fusion network for RGB-T salient object detection by Yuanlin Chen, Zengbao Sun, Cheng Yan, Ming Zhao

“…IntroductionRGB-T Salient Object Detection (SOD) aims to accurately segment salient regions in both visible light and thermal infrared images. …”
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Security anomaly detection for enterprise management network based on attention mechanism by Zhaohan You, Yucai Zheng

“…In response to the problems of insufficient accuracy and high time consumption in traditional network security anomaly detection methods, this paper proposes a detection model combining attention mechanism based spatial convolutional network and gated attention transformer (AMSCN-GADetector). …”
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Deep Learning Based Breast Cancer Detection Using Decision Fusion by Doğu Manalı, Hasan Demirel, Alaa Eleyan

“…First, SVM distinguishes between different tumor types using local binary pattern (LBP) features. Second, a pre-trained CNN extracts features, and SVM identifies potential tumors. …”
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FDM-RTDETR: A Multi-Scale Small Target Detection Algorithm by Hongya Wang, Yongtao Yu, Zhaoxia Tang

“…We design a Dynamic Feature Interaction (DIFI) module with position-based biases in the encoder, enhancing the model’s perception of local features for small objects. In the neck network, we introduce a Multi-Scale Feature Enhancement Pyramid (MSFEP) module to improve feature extraction capabilities for small object detection. …”
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Detection of convergent genome-wide signals of adaptation to tropical forests in humans. by Carlos Eduardo G Amorim, Josephine T Daub, Francisco M Salzano, Matthieu Foll, Laurent Excoffier

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