A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines by Xuhui ZHANG, Yanbin XIE, Wenjuan YANG, Chao ZHANG, Jicheng WAN, Zheng DONG, Yanqun WANG, Jie JIANG, Long LI

“…Objective In coal mines, the uneven distribution of dust haze and complex illumination conditions caused by underground coal mining and dust removal lead to blurred video images, as well as the loss of information and details. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Characterization of paleodrainages in desert regions of Saudi Arabia multisatellite images with field based study by Mashael M. Al Saud

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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

“…Understanding trends in species and their drivers is key to knowing the size of the challenge, its causes and how to address it. To identify solutions that lead to sustainable biodiversity alongside economic prosperity, insect monitoring should be efficient and provide standardised and frequently updated status indicators to guide conservation actions.The EU Biodiversity Strategy 2030 identifies the critical challenge of delivering standardised information about the state of nature and image-based insect AI can contribute to this. …”
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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

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BiAF: research on dynamic goat herd detection and tracking based on machine vision by Yun Hou, Mingjuan Han, Wei Fan, Xinyu Jia, Zhuo Gong, Ding Han

“…Combined with DeepSORT, our system successfully tracks goat herds, demonstrating the effectiveness of the BiAF-YOLOv7 algorithm as a tool for livestock grazing monitoring. …”
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Democratising the interface research-policymaking in landscape planning: experiences in Friuli Venezia Giulia (Italy) by Enrico Michelutti

“…Exploring the experiences of landscape planning developed in Friuli Venezia Giulia, Italy (i.e., territorial plans involving landscape conservation norms, regional landscape plans, “integrated landscape projects”), the research shows the need to readdress landscape governance and policymaking towards inclusiveness, fostering knowledge co-production initiatives at all levels and (re-)thinking power as a complex factor of change in the relationships between planning authorities, academia, communities and citizens. …”
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Polarity-JaM: an image analysis toolbox for cell polarity, junction and morphology quantification by Wolfgang Giese, Jan Philipp Albrecht, Olya Oppenheim, Emir Bora Akmeriç, Julia Kraxner, Deborah Schmidt, Kyle Harrington, Holger Gerhardt

“…The general architecture of the software allows its application to other cell types and imaging modalities, as well as seamless integration into common image analysis workflows, see https://polarityjam.readthedocs.io . …”
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Predicting Iran Cooperative Development Bank's Profit/Loss: Two-stage Collective Learning by Seyed Bagher Fattahi, Seyed Mozafar Mirbargkar, Ebrahim Chirani, Mohammadreza Vatanparast

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Assessment of Staff’s Knowledge, Attitude, and Practice on Radiation Protection Measures in Mazandaran Province, Iran by Danial Seifi, Alireza Khorrami

“… Purpose: Ionizing radiation in medical imaging is one of the dominant diagnostic tools, and also correct knowledge of radiation protection affects staff safety behaviors during examinations. …”
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Non-uniform Fourier transform based image classification in single-particle Cryo-EM by ZiJian Bai, Jian Huang

“…In the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier transform to the images and extract rotation-invariant features in the frequency domain. …”
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Unlocking the potential of hydrogen deuterium exchange via an iterative continuous-flow deuteration process by Kevin Tatoueix, Marco Lepron, Cédric Barboux, Marie-Christine Scherrmann, Grégory Pieters, Sophie Feuillastre

“…This report pinpoints an approach to unlock the potential of HDE using the concept of iterative runs in continuous-flow technology (recirculation process). …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…However, compared with common color images, objects in remote sensing images exhibit minimal interclass variation and significant intraclass variation in the spectral dimension, with obvious scale inconsistency in the spatial dimension. …”
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Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset by Xiangqing Zhang, Yan Feng, Nan Wang, Guohua Lu, Shaohui Mei

“…However, existing person detection models designed for aerial images heavily rely on numerous labeled instances and exhibit limited tolerance towards complex lighting conditions commonly encountered in search and rescue (SaR) scenarios. …”
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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

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Outcome and Management of Sepsis at RozhHalat Emergency Hospital in Erbil –Kurdistan region of Iraq by Samir Qader Ahmad, Shakawan Muhamad Ismaeel, Dara Ahmed Mohammed Ahmed Mohammed, Halgurd Fathulla Ahmed

“…An observational prospective study was carried out at RozhHalat emergency hospital in Erbil-Kurdistan region of Iraq between February 2017 to January 2018.The study was approved by the scientific and ethical committee of Kurdistan board of medical specialties. 50 patients aged between (10 - 80) years old presented to this hospital with sign and symptoms of infection were recruited to this study. 50 patients with signs and symptoms of sepsis were recorded in this study. …”
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Imaging study of adult coccygeal morphology using direct digital radiography technology in China by Yingsen Pan, Feipeng Qin, Yi Shen, Ndalyolusha Tileinge Hapulile, Haoyang Zhang, Xin Ye, Shuailin Li, Xiaoming Li, Chao Yang, Xiang Zhou, Xiaoming Ying

“…Modified coccyx morphology classification was applied. Imaging focused on the type of coccyx and the number of coccygeal segments. …”
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The Diagnostic Pitfall of Lymphadenopathy: Ultrasonic Imaging Findings in a Case of Cat Scratch Lymphadenitis by Li Tiantian, Zhu Miao, Shen Dejuan, Qian Xiaoqin

“…Lymphadenopathy is a common clinical disease, and ultrasonography is its primary preliminary diagnostic screening strategy. …”
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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

Subjects: “…underwater image enhancement…”
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