Temperature and Precipitation Extremes in the Brazilian Legal Amazon: A Summary of Climatological Patterns and Detected Trends by Wanderson Luiz-Silva, Anna Carolina Fernandes Bazzanela, Claudine Pereira Dereczynski, Antonio Carlos Oscar-Júnior, Igor Pinheiro Raupp

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A decentralized privacy-preserving framework for diabetic retinopathy detection using federated learning and blockchain by Omar Dib

“…Diabetic Retinopathy (DR) detection in distributed telemedicine environments requires secure, scalable, and privacy-preserving solutions. …”
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Power Corridor Safety Hazard Detection Based on Airborne 3D Laser Scanning Technology by Shuo Wang, Zhigen Zhao, Hang Liu

“…The type of hazard in the current working condition is mainly vegetation, and the types of cross-crossing hazards are power lines and buildings. The detection results are submitted to the local power department in a timely manner, and relevant measures are taken to eliminate hazards and ensure the normal supply of power resources. …”
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TransC-GD-CD: Transformer-Based Conditional Generative Diffusion Change Detection Model by Yihan Wen, Zhuo Zhang, Qi Cao, Guanchong Niu

“…Change detection (CD) methodologies have garnered substantial attention owing to their capability to monitor alterations in geographic spaces across temporal intervals, especially with the acquisition of high-resolution remote sensing images. …”
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Detecting small-scale landslides along electrical lines using robust satellite-based techniques by Mohammad Kazemi Garajeh, Annibale Guariglia, Parivash Paridad, Raffaele Santangelo, Valeria Satriano, Valerio Tramutoli

“…Robust Satellite Technique (RST) was applied to detect small-scale landslides along electrical lines in Sicily, Italy. …”
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Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

“…Object detection in low-light environments is often hampered by unfavorable factors such as low brightness, low contrast, and noise, which lead to issues like missed detections and false positives. …”
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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Benefiting from continuous innovations in deep learning algorithms, the accuracy of building change detection (BCD) in remote sensing (RS) has significantly improved. …”
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Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features by Ádám Zsuga, Adrienn Dineva

“…Time-frequency features extracted via Discrete Wavelet Transform (DWT) from stator current signals are used to train a Transformer model for automated ITSC fault detection. The Transformer model, leveraging self-attention mechanisms, captures both local transient patterns and long-range dependencies within the time-frequency feature space. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

“…Infrared small-target detection encounters significant challenges due to a low image signal-to-noise ratio, limited target size, and complex background noise. …”
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A contrastive learning and knowledge distillation-based framework for efficient federated intrusion detection in IoT by Li Ma, Jicheng He, Kai Lu, Dan Wang, Long Yin, Zhaokun Li

“…KF-IDS, as an additional (but optional) subsequent step of CF-IDS, based on knowledge distillation and mutual information theory, provides a off-line IDS solution by distillating CF-IDS into lite models. Through local deployment on low-computational-power end devices, KF-IDS avoiding upload raw data to the cloud. …”
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Infrared Small Target Detection Based on Double Gray-Values Descend Angle Contrast Measure by Song Guan, Dali Zhou, Xiaodong Wang, Pengji Zhou

“…However, the complexity of the detection environment and the interference from salt noise considerably increase the difficulty of the detection task. …”
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Road Perception for Autonomous Driving: Pothole Detection in Complex Environments Based on Improved YOLOv8 by Siyuan Kong, Qiao Meng, Xin Li, Zhijie Wang, Xin Liu, Bingyu Li

“…Road surface pothole detection is crucial for ensuring the driving safety and path planning of autonomous vehicles. …”
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A Transformer–VAE Approach for Detecting Ship Trajectory Anomalies in Cross-Sea Bridge Areas by Jiawei Hou, Hongzhu Zhou, Manel Grifoll, Yusheng Zhou, Jiao Liu, Yun Ye, Pengjun Zheng

“…This approach significantly enhances the model’s ability to learn and reconstruct normal trajectory patterns, with reconstruction errors serving as the criterion for anomaly detection. Experimental results show that the transformer–VAE outperforms conventional VAE and LSTM–VAE in reconstruction accuracy and achieves better detection balance and robustness compared to LSTM–-VAE and transformer–GAN in anomaly detection. …”
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AgriLiteNet: Lightweight Multi-Scale Tomato Pest and Disease Detection for Agricultural Robots by Chenghan Yang, Baidong Zhao, Madina Mansurova, Tianyan Zhou, Qiyuan Liu, Junwei Bao, Dingkun Zheng

“…Real-time detection of tomato pests and diseases is essential for precision agriculture, as it requires high accuracy, speed, and energy efficiency of edge-computing agricultural robots. …”
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Detection and evolutionary characterization of arboviruses in mosquitoes and biting midges on Hainan Island, China, 2019-2023. by Qun Wu, Dingwei Sun, Wahid Zaman, Fei Wang, Doudou Huang, Haixia Ma, Shunlong Wang, Ying Liu, Puyu Liu, Xuexia Zeng, Zhiming Yuan, Han Xia

“…RT-PCR assays were used to detect the arbovirus species, distribution, and infection rates in mosquitoes and biting midges. …”
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Clinical Implications of Social Anxiety Disorder (SAD) and its Detection Methods- A Systematic Review by Dian Pitaloka Priasmoro, Yuni Asri

“…A total of 11 final articles that were reviewed showed a significant correlation between anxiety disorder and detection. Conclusion: As individuals with SAD are large in number, based on this review, early detection is required using methods used by local health regions such as through interviews or clinical symptom assessment. …”
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Molecular detection and identification of Trichobilharzia: development of a LAMP, qPCR, and multiplex PCR toolkit by Jan Procházka, Zikmund Bartoníček, Roman Leontovyč, Petr Horák, Tomáš Macháček

“…Tricho-qPCR showed the highest sensitivity, detecting all species down to 10−4 ng per reaction and showing a limit of detection at 10 copies of synthetic DNA in the reaction. …”
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A novel approach of drowsiness levels detection using Vis-Net combined with facial emotion by Thuong-Cang Phan, Anh-Cang Phan, Ngoc-Hoang-Quyen Nguyen

“…The proposed model harnesses the efficiency of neural networks for feature extraction while leveraging the powerful self-attention mechanisms of Vision Transformers to learn both global and local information from an image to detect and classify levels of drowsiness based on Katajima’s scale. …”
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EEG Peak Detection in Cognitive Conflict Processing Using Summit Navigator and Clustering-Based Ranking by Tran Hiep Dinh, Avinash Kumar Singh, Nguyen Linh Trung, Diep N. Nguyen, Chin-Teng Lin

“…Correct detection of peaks in electroencephalogram (EEG) signals is of essence due to the significant correlation of those potentials with cognitive performance and disorders. …”
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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

“…Unlike previous approaches that focus on local algorithm optimisation or SAR feature selection, this work integrates two scales: (1) landscape patterns derived from annual distributions of time series metrics (TSMs) and (2) field-level phenology, both linked to growing degree days (GDD). …”
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