Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

“…The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. The authors employ adaptive fixed-rank kriging to analyze a sequence of thermograms obtained in the AIRT experiment. …”
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The Quality Urban Label and the 4Q City Model: Levers for Urban Adaptation and Climate Change Mitigation in Mediterranean Cities by Jordi Mazon

“…Building on this approach, the Quality Urban Label (QUL) has been developed to assess public space adaptation to urban climate change. The QUL utilizes four key indicators, called quality components: air quality (pollutants), noise pollution, thermal comfort, and visual comfort. …”
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Binary Classification of Pneumonia in Chest X-Ray Images Using Modified Contrast-Limited Adaptive Histogram Equalization Algorithm by Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon

“…This study proposes a novel approach for the binary classification of pneumonia in chest X-ray images using an adaptive contrast enhancement model and a convolutional neural network (CNN). …”
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Design of an Improved Model Using Neuro-Symbolic Encoding and Federated Meta-Adaptation for Plant Disease Detection and Explanation Process by Kurhe Prajakta, Dashore Pankaj

“…The Federated Meta-Adaptation with Real-Time Feedback on Crops (FMA-RCF) module also ensures power and cross-region generalizability by decentralized training on IoT-based signals of crop health sets.…”
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Computational Issues in Nonlinear Dynamical Systems: Creating Bifurcation Diagrams of Lyapunov Exponents Using a Novel Adaptive Approach by Maciej Walczak, Wieslaw Marszalek

“…Four corrections of the parameters involved in the algorithm are proposed in the new adaptive approach. The advantage of using the newly design adaptive method to improve the procedure of the Lyapunov exponents computation is illustrated through a series of numerical examples. …”
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Adltformer Team-Training with Detr: Enhancing Cattle Detection in Non-Ideal Lighting Conditions Through Adaptive Image Enhancement by Zhiqiang Zheng, Mengbo Wang, Xiaoyu Zhao, Zhi Weng

“…This often results in the loss of image details and structural information, color distortion, and noise artifacts, thereby compromising the visual quality of captured images and reducing model accuracy. …”
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Adaptive yoga for psychological health of children having autism spectrum disorder and with intellectual disability: single case experimental design by Jyoti Maggu, Soubhagyalaxmi Mohanty, Karthikeyan Sundaravadivel

“…Abstract Children with multiple disabilities have developmental issues in psychological domains. Adaptive yoga tailored to individual abilities promises positive results on children with special needs. …”
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Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding by Li Hui, Ahmed Ibrahim, Riyadh Hindi

“…Traditional methods for crack detection primarily hinge on manual visual inspection, which relies on the experience and expertise of inspectors using tools such as magnifying glasses and microscopes. …”
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MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment by Zhesheng Cheng, Yingdan Wu, Fang Tian, Zaiwen Feng, Yan Li

“…To address the issues of loss of important detailed features, insufficient contrast enhancement, and high computational complexity in existing low-light image enhancing methodologies, this paper presents a low-light image enhancement network (MSF-ACA), which uses multi-scale feature fusion and adaptive contrast adjustment. Focus is placed on designing the local–global image feature fusion module (LG-IFFB) and the adaptive image contrast enhancement module (AICEB), in which the LG-IFFB adopts the local–global dual-branching structure to extract multi-scale image features, and utilizes the element-by-element multiplication method to fuse the local details with the global illumination distribution to alleviate the problem of serious loss of image details, while the AICEB incorporates linear contrast enhancement and confidence adaptive stopping mechanism, which dynamically adjusts the computational depth according to the confidence of the feature map, balancing the contrast enhancement and computational efficiency. …”
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The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction by M. Vlachos, D. Skarlatos, S. Demesticha

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Drone Detection Using YOLOv5 With GhostNet Backbone and Adaptive Fourier Neural Operator (AFNO 2D) by K. Kavin Akash, Uma Kuppusamy

“…Real-time and reliable AAV detection remains a formidable challenge owing to the small size, rapid movement, and visual similarity of AAVs to birds and other airborne objects in dynamic environments. …”
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Detailed Morphological Changes of Foveoschisis in Patient with X-Linked Retinoschisis Detected by SD-OCT and Adaptive Optics Fundus Camera by Keiichiro Akeo, Shuhei Kameya, Kiyoko Gocho, Daiki Kubota, Kunihiko Yamaki, Hiroshi Takahashi

“…Functional assessments included best-corrected visual acuity (BCVA), full-field electroretinograms (ERGs), and multifocal ERGs (mfERGs). …”
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Satellite-Derived Bathymetry Using Sentinel-2 and Airborne Hyperspectral Data: A Deep Learning Approach with Adaptive Interpolation by Seung-Jun Lee, Han-Saem Kim, Hong-Sik Yun, Sang-Hoon Lee

“…The integration of spatially adaptive interpolation with airborne hyperspectral reference data represents a scalable and efficient solution for high-resolution coastal bathymetry mapping.…”
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DASNeRF: depth consistency optimization, adaptive sampling, and hierarchical structural fusion for sparse view neural radiance fields. by Yongshuo Zhang, Guangyuan Zhang, Kefeng Li, Zhenfang Zhu, Peng Wang, Zhenfei Wang, Chen Fu, Xiaotong Li, Zhiming Fan, Yongpeng Zhao

“…The reconstructed details and visual quality are significantly improved, demonstrating DASNeRF's potential in 3D reconstruction under sparse-view conditions.…”
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MACA-Net: Mamba-Driven Adaptive Cross-Layer Attention Network for Multi-Behavior Recognition in Group-Housed Pigs by Zhixiong Zeng, Zaoming Wu, Runtao Xie, Kai Lin, Shenwen Tan, Xinyuan He, Yizhi Luo

“…The model incorporates a Mamba Global–Local Extractor (MGLE) Module, which leverages Mamba to capture global dependencies while preserving local details through convolutional operations and channel shuffle, overcoming Mamba’s limitation in retaining fine-grained visual information. Additionally, an Adaptive Multi-Path Attention (AMPA) mechanism integrates spatial-channel attention to enhance feature focus, ensuring robust performance in complex environments and low-light conditions. …”
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High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models by Zhili Zhang, Xiangyun Hu, Yue Yang, Bingnan Yang, Kai Deng, Hengming Dai, Mi Zhang

“…OSISeg utilizes robust visual priors from foundation models and implements a hybrid adapter-based strategy for fine-tuning these models. …”
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Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control by Guozheng Wang, Xiaoxia Liu, Yiming Cai, Jian Wang, Ying Gao, Jun Liu

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Global insights into the genome dynamics of Clostridioides difficile associated with antimicrobial resistance, virulence, and genomic adaptations among clonal lineages by Mohammad Sholeh, Mohammad Sholeh, Masoumeh Beig, Masoumeh Beig, Ebrahim Kouhsari, Mahdi Rohani, Mohammad Katouli, Farzad Badmasti

“…Statistical analyses and visualizations were performed in R.ResultsAmong 366 identified STs, ST1 (1,326 isolates), ST2 (1,141), ST11 (893), and ST42 (763) were predominant. …”
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Cross-species single-cell transcriptomic atlas of retinal photoreceptors reveals molecular signatures underlying color vision adaptation by Zhibin Li, Chengkai Yan, Yubao Lu, Yaqing Shu, Shilin Wu, Xi Cheng, Yuge Wang, Shishi Shen, Hui Yang, Gang Cao, Jianping Ji, Liangming Zhang, Jian Sun, Dongchang Xiao, Shasha Li, Wei Qiu

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“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…By constructing a “locality – adaptation” conservation framework, the research reveals how resettlers rebalance local elements through adaptive strategies such as selective preservation, innovative transformation, and memory-driven reconstruction in newly constructed environments.MethodsAs a typical scenario of abrupt changes in social – ecological systems, the environmental shocks experienced by relocated settlements provide a natural experimental setting for studying human habitat adaptability. …”
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