A novel dataset and deep learning object detection benchmark for grapevine pest surveillance by Giorgio Checola, Paolo Sonego, Roberto Zorer, Valerio Mazzoni, Franca Ghidoni, Alberto Gelmetti, Pietro Franceschi

“…Pre-processing, including automatic cropping to eliminate irrelevant background information and image enhancements to improve the overall quality of the dataset, was employed. …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…FVC estimation methods have evolved from traditional manual interpretation to advanced remote sensing technologies, such as satellite data analysis and unmanned aerial vehicle (UAV) image processing. Extraction methods based on high-resolution UAV data are being increasingly studied in the fields of ecology and remote sensing. …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

“…Fortunately, more automated ways of measurement are gaining momentum due to the availability of cheap imaging and processing equipment and the development of dedicated image analysis algorithms. …”
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Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review by Alexandra V. Proskura, Khalil M. Ismailov, Alexander G. Smoleevskiy, Amina I. Salpagarova, Irina N. Bobkova, Andrei M. Shestiuk

“…The article discusses the basics of radiomic methods, including texture analysis of images and the creation of diagnostic models using machine learning algorithms. …”
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Forest Change Monitoring Based on Block Instance Sampling and Homomorphic Hypothesis Margin Evaluation by Wei Feng, Fan Bu, Puxia Wu, Gabriel Dauphin, Yinghui Quan, Mengdao Xing

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Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification by S. Radhika, G. Sharada

“…The extensive experimentation carried out using LIDC-IDRI Lung cancer datasets which consists of original 1018 CT Lung Images and various learning capability tests was performed, which is then compared with the other learning framework. …”
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Enhancing diabetic retinopathy detection through federated convolutional neural networks: Exploring different stages of progression by Saad Alanazi, Rayan Alanazi

“…In addition, Weiner and median filtration(weinmed) reduce turbulence in retinal images, improving the image quality for future investigations. …”
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Technical Code Analysis of Geomagnetic Flaw Detection of Suppression Rigging Defect Signal Based on Convolutional Neural Network by Gang Zhao, Changyu Han, Zhongxiang Yu, Zhipan Li, Guoao Yu, Hongmei Zhang, Dadong Zhao, Zhengyi Jiang

“…The pressed rigging defect data set is constructed, and the region of broken wire defect and stress in the image is calibrated. The single-stage object detection algorithm YOLOv5 (You Only Look Once) based on convolutional neural network model calculation is used, the scale detection layer and positioning loss function of the YOLOv5 algorithm are improved and optimized, and the improved YOLOv5 algorithm is used for experiments. …”
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Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry by Maha Al-Hasoo, Zeena Al-kateeb

“…MATLAB 7.9.0(2009b) programming language has been used to execute the paper algorithms, because its facilities in processing digital images.…”
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Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

“…Finally, an improved gray wolf optimization algorithm integrated with an extreme learning machine (IMGWO-ELM) classifies the images as either healthy or glaucomatous. …”
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Lightweight Neural Network for Centroid Detection of Weak, Small Infrared Targets via Background Matching in Complex Scenes by Xiangdong Xu, Jiarong Wang, Zhichao Sha, Haitao Nie, Ming Zhu, Yu Nie

“…The experimental results show that, compared to directly inputting a sequence of images into the neural network, inputting a sequence of images processed by background matching can increase the detection rate by 9.88%. …”
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Minimum Link Flow Problem and Its Solution With Sparse Modeling by Ryotaro Matsuo, Ryo Nakamura, Hiroyuki Ohsaki

“…Recently, a statistical modeling approach called sparse modeling has attracted much attention, especially in the fields of signal and image processing. Sparse modeling is applicable to solve problems in a variety of fields, and a few applications have begun to be explored in the field of information networking. …”
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Crack Detection in Civil Infrastructure: A Method-Scenario Review by Chang Haochen, Gu Weifan, Guo Baohua, Bassir David

“…Crack detection, as a key indicator of structural health, has transitioned from traditional image processing to advanced deep learning methods. …”
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The Conformal Finite-Difference Time-Domain Simulation of GPR Wave Propagation in Complex Geoelectric Structures by Man Yang, Hongyuan Fang, Dazhong Chen, Xueming Du, Fuming Wang

“…Comparison of simulated reflectance waveform of FDTD, symplectic partitioned Runge-Kutta (SPRK), and CFDTD methods shows that at least 50% of the virtual waves can be reduced by using the proposed algorithm. Wiggle diagrams of FDTD and CFDTD methods show that much of the virtual waves have been reduced, and the radar image is clearer than before. …”
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Face Detection and Recognition using Color Segmentation,Template Matching and Gabor Neural Network with Fuzzy System by Mays Kareem Jabbar, Maab Alaa Hussain, Thaar A. Kareem

“… Face recognition is the process of finding the face of one or more people in an image or even in a video. …”
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Deep Learning Models for Detection and Severity Assessment of Cercospora Leaf Spot (<i>Cercospora capsici</i>) in Chili Peppers Under Natural Conditions by Douglas Vieira Leite, Alisson Vasconcelos de Brito, Gregorio Guirada Faccioli, Gustavo Haddad Souza Vieira

“…First, an algorithm was developed to process raw images, applying ROI selection and background removal. …”
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Real-Time Runway Detection Using Dual-Modal Fusion of Visible and Infrared Data by Lichun Yang, Jianghao Wu, Hongguang Li, Chunlei Liu, Shize Wei

“…We introduce a large-scale visible–infrared runway dataset (RDD5000) and develop a SOD algorithm capable of detecting salient targets from unaligned visible and infrared images. …”
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Analysing Time Series of Land Subsidence in the West of Tehran Province (Shahriar Plain) and its Relation to Groundwater Discharge by InSAR Technique by Ramin Papi, ُSara Attarchi, Masoud Soleimani

“…Therefore, the time series of the ENVISAT-ASAR satellite images from 2003 to 2010 were used. The Small BAseline Subset (SBAS) algorithm was applied to analyze the time series of land surface displacement and to generate the mean displacement velocity map. …”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Whereas the CNNs extract spatial features from medical images, the LSTMs model the temporal patterns of wearable sensor data. …”
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Joint NTAV/SPA 2012 Conference Lodz University of Technology Poland, September 27 – 29, 2012 by Paweł STRUMIŁŁO

“…The scope of the NTAV/SPA 2012 joint conference has covered a broad range of topics related to audio, image and video processing, digital signal processing theory, and numerous practical applications including human-computer interaction systems and medicine (see the conference webpage at www.ntavspa.pl for a conference programme). …”
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