Deep CNN based brain tumor detection in intelligent systems by Brij B. Gupta, Akshat Gaurav, Varsha Arya

“…Leveraging advanced computational techniques, this proposed model can autonomously detect intricate patterns and features from medical imaging data, resulting in more accurate and expedited diagnoses. …”
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Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

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Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection by Aijazahamed Qazi, R. H. Goudar, Rudragoud Patil, Geetabai S. Hukkeri, Dhanashree Kulkarni

“…This has created a need for an effective rumor detection system that can identify and control the spread of false information in real-time. …”
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Ensemble Voting for Enhanced Robustness in DarkNet Traffic Detection by Varun Shinde, Kartik Singhal, Ahmad Almogren, Vineet Dhanawat, Vishal Karande, Ateeq Ur Rehman

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Generative Adversarial Networks for Dynamic Cybersecurity Threat Detection and Mitigation by William Villegas-Ch, Rommel Gutierrez, Jaime Govea

“…The model is designed to detect anomalies in network traffic and generate malicious synthetic patterns to strengthen system defenses. …”
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Meta-Learning With Relation Embedding for Few-Shot Deepfake Detection by Xiaoyong Liu, Pengcheng Song, Pei Lu, Yanjun Wang

“…Subsequently, we convert the basic representations of feature maps into their corresponding self-correlation tensors, enabling us to learn the structural patterns inherent in these tensors. Finally, we utilize a learnable metric to classify the self-correlation tensors. …”
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Detecting phishing gangs via taint analysis on the Ethereum blockchain by Kangrui Huang, Weili Chen, Zibin Zheng

“…Based on this, we propose a heuristics algorithm for phishing gang detection. And we also summarize gang patterns and reveal money laundering in phishing activities. …”
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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

“…This approach enhances the model's initial ability to recognize complex patterns in myocardial images, improving classification accuracy. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…Extensive experiments on both real-world and publicly available datasets demonstrate that IFT-GAN outperforms its competitive peers across key detection metrics, indicating the effectiveness of IFT-GAN in addressing the class imbalance challenge while preserving the integrity of authentic fraud patterns.…”
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Evaluating Lightweight Transformers With Local Explainability for Android Malware Detection by Fatima Bourebaa, Mohamed Benmohammed

“…Traditional deep learning-based Android malware detection, reliant on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), struggles to capture long-range dependencies, which are critical for identifying complex malware patterns. …”
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YOLOX-S-TKECB: A Holstein Cow Identification Detection Algorithm by Hongtao Zhang, Li Zheng, Lian Tan, Jiahui Gao, Yiming Luo

“…Therefore, this paper proposes a cow identification method based on YOLOX-S-TKECB. (1) Based on the characteristics of Holstein cows and their breeding practices, we constructed a real-time acquisition and preprocessing platform for two-dimensional Holstein cow images and built a cow identification model based on YOLOX-S-TKECB. (2) Transfer learning was introduced to improve the convergence speed and generalization ability of the cow identification model. (3) The CBAM attention mechanism module was added to enhance the model’s ability to extract features from cow torso patterns. (4) The alignment between the apriori frame and the target size was improved by optimizing the clustering algorithm and the multi-scale feature fusion method, thereby enhancing the performance of object detection at different scales. …”
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Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer by Haixia Qi, Zihong Chen, Guangsheng Liang, Riyao Chen, Jinzhuo Jiang, Xiwen Luo

“…Detecting the daily behavior of broiler chickens allows early detection of irregular activity patterns and, thus, problems in the flock. …”
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Detecting Learning Behavior in Programming Assignments by Analyzing Versioned Repositories by John Chen, Serena Lau, Juho Leinonen, Valerio Terragni, Nasser Giacaman

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CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals by Rohini Dakulagi, Ravi Raushan, Soham Dutta, Mohammed Theeb Alosaimi, Miguel Villagomez-Galindo

“…By meticulously analyzing factor matrices derived from sensor data, the algorithm effectively decodes intricate spatiotemporal patterns within the received tensor, offering precise source estimation even in scenarios where the number and nature of the sources are unknown. …”
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Detectable use of ENSO information on crop production in Southern Africa by Erin Coughlan de Perez, Weston Anderson, Eunjin Han, Gibbon Innocent Tirivanhu Masukwedza, Ntlele Mphonyane

“…In this study, we use subnational data on cropping area and yield to see if we can detect any macro-level patterns in agricultural choices or outcomes that are related to knowledge of the El Niño Southern Oscillation or seasonal forecast information in Southern Africa. …”
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Comparison of Different Methods for Detecting Carbapenemase Types in Enterobacterales Species by Cisil Seyma Ozel Davulcu, Alper Akcali

“…The combination disk test also offers a reliable alternative for detecting carbapenemase production, particularly when considering local resistance patterns.…”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study used pen tablet and fNIRs device to compare writing dynamics and brain activity between ADHD with coexisting ASD and typically developing (TD) children during handwriting patterns. Two handwriting tasks including Zigzag line (ZL) and periodic lines (PL) were adopted for data collection. …”
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RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes by Haochen Wang, Xuhui Liu, Ziqian Lu, Cilin Yan, Xiaolong Jiang, Runqi Wang, Efstratios Gavves

“…Current AI-generated image detection methods mainly focus on low-level features, such as detailed texture patterns and frequency domain inconsistency, which are specific to certain generative models, making it challenging to identify the above-mentioned general semantic fakes. …”
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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…To our knowledge, these approaches and especially their application in fall detection represent rarely explored directions in this research area. …”
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