Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices by Souvick Mukherjee, PhD, Tharindu De Silva, PhD, Cameron Duic, BS, Gopal Jayakar, BS, Tiarnan D.L. Keenan, BM BCh, PhD, Alisa T. Thavikulwat, MD, Emily Chew, MD, Catherine Cukras, MD, PhD

“…Methods: We evaluate 2 separate state-of-the-art segmentation algorithms through a training process using images obtained from 1 OCT device (Heidelberg-Spectralis) and subsequent testing using images acquired from 2 OCT devices (Heidelberg-Spectralis and Zeiss-Cirrus). …”
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Research on Grouting Dynamic Monitoring Based on Borehole–Tunnel Joint Resistivity Method by Cheng Wang, Lei Zhou, Liangjun Yan, Bofan Li

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Grid Impedance Estimation Using Several Short-Term Low Power Signal Injections by M. M. AlyanNezhadi, F. Zare, H. Hassanpour

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Improving Person Re-Identification Rate in Security Cameras by Orthogonal Moments and a Distance-based Criterion by Ali Dadkhah, Saeed Nasri

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Dirty Pictures by Esra S. Padgett

“…The ban enforced the removal of all so-called adult content through the use of a censorial algorithm designed to flag or remove images. This paper traces the discursive negotiations between Tumblr and its users that emerged after the ban, a process centered on the very terms of what defines obscenity and constituted by competing pragmatics for sorting obscene images. …”
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From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

“…Three methods were developed to derive clinical PFS: 1) frequency analysis of corticosteroid prescriptions, 2) natural language processing (NLP) of reports, and 3) computer vision (CV) volumetric analysis of imaging. …”
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Retraction notice to “A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules” [Heliyon 7 (2021) e06673] by Patrick Juvet Gnetchejo, Salomé Ndjakomo Essiane, Abdouramani Dadjé, Pierre Ele

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Tradeoffs Associated With the Cloud Masking for SGLI Sea Surface Temperature by Yukio Kurihara, Rigen Shimada, Eri Yoshizawa, Fumiaki Kobashi

“…Many cloud masking algorithms have been proposed, but cloud contamination still remains as a difficult issue. …”
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Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. by Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger

“…In the cranio-maxillofacial complex the used method could represent an algorithmic alternative for image-based segmentation in the clinical practice for e.g. surgical treatment planning or visualization of postoperative results and offers several advantages. …”
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Urban pulse: measuring pace of life through public camera-based cadence analysis by Pei-Yu Ho, Ming-Kuang Chung, Ling-Jyh Chen

“…The Real-Time Image Collection Module autonomously gathers video streams from a network of public live cameras; the Pedestrian Feature Extraction Module employs the You Only Look Once version 7 (YOLOv7) model along with the Simple Online and Real-Time Tracking (SORT) algorithm to produce time series data of pedestrian characteristics; following this, the Pedestrian Cadence Estimation Module applies signal processing to these data to evaluate pedestrian cadence. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…The SA-CS algorithm extends SA by preventing entrapment in local minimum and enhancing global exploration. …”
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A Framework for Breast Cancer Classification with Deep Features and Modified Grey Wolf Optimization by Fathimathul Rajeena P.P, Sara Tehsin

“…Early mammographic picture analysis and processing reduce mortality and enable efficient treatment. …”
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Fairness in Healthcare Services for Italian Older People: A Convolution-Based Evaluation to Support Policy Decision Makers by Davide Donato Russo, Frida Milella, Giuseppe Di Felice

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Monitoring and Assessment of Slope Hazards Susceptibility Around Sarez Lake in the Pamir by Integrating Small Baseline Subset InSAR with an Improved SVM Algorithm by Yang Yu, Changming Zhu, Majid Gulayozov, Junli Li, Bingqian Chen, Qian Shen, Hao Zhou, Wen Xiao, Jafar Niyazov, Aminjon Gulakhmadov

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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

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Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism by Linfeng Xi, Jianping Wang, Anqi Liu, Yifei Ni, Jie Du, Qiang Huang, Yishan Li, Jing Wen, Hongyi Wang, Shuai Zhang, Yunxia Zhang, Zhu Zhang, Dingyi Wang, Wanmu Xie, Qian Gao, Yong Cheng, Zhenguo Zhai, Min Liu

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Readout Architectures for High Efficiency in Time-Correlated Single Photon Counting Experiments—Analysis and Review by Alessandro Cominelli, Giulia Acconcia, Pietro Peronio, Ivan Rech, Massimo Ghioni

“…Quantitative comparisons are performed starting from imager response of the systems, which is the rate of recorded events in the case of uniform illumination of the detector array.…”
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Bridge Displacements Monitoring Method Based on Pixel Sequence by Zimeng Shen, Weizhu Zhu, Tong Wu, Xianghao Luo, Zhixiang Zhou

“…Initially, grayscale processing enhances the image’s information content. …”
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Fiber-Optic Sensor Spectrum Noise Reduction Based on a Generative Adversarial Network by Yujie Lu, Qingbin Du, Ruijia Zhang, Bo Wang, Zigeng Liu, Qizhe Tang, Pan Dai, Xiangxiang Fan, Chun Huang

“…This study proposes a deep-learning-based denoising method for fiber-optic sensors, which involves pre-processing the sensor spectrum into a 2D image and training with a cycle-consistent generative adversarial network (Cycle-GAN) model. …”
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Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed by Vadym Mishchuk, Herman Fesenko, Vyacheslav Kharchenko

“…The objectives are as follows: 1) conduct a comparative analysis of YOLOv8 and RT-DETR image processing models for explosive ordnance (EO) detection, focusing on accuracy and real-time processing speed;2) to explore the impact of different input image resolutions on model performance for identifying the optimal resolution for EO detection tasks;3) to analyze how object size (small, medium, large) affects detection efficiency for enhancing EO recognition accuracy; 4) to develop recommendations for EO detection model configurations; 5) to propose methods for enhancing EO detection model performance in complex environments. …”
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