Investigating Injury Outcomes of Horse-and-Buggy Crashes in Rural Michigan by Mining Crash Reports Using NLP and CNN Algorithms by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

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A Riemannian framework for incorporating white matter bundle prior in orientation distribution function based tractography algorithms. by Thomas Durantel, Gabriel Girard, Emmanuel Caruyer, Olivier Commowick, Julie Coloigner

“…We developed a method to create a combination of anatomical prior applicable to any orientation distribution function (ODF)-based tractography algorithms. The proposed method captures the tract orientation distribution (TOD) from an atlas of segmented fiber bundles and incorporates it during the tracking process, using a Riemannian framework. …”
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Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges by Shunlin Liang, Tao He, Jianxi Huang, Aolin Jia, Yuzhen Zhang, Yunfeng Cao, Xiaona Chen, Xidong Chen, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Xuecao Li, Liangyun Liu, Xiaobang Liu, Han Ma, Yichuan Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Guodong Zhang, Yufang Zhang, Liulin Song

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Efficient Channel Prediction Technique Using AMC and Deep Learning Algorithm for 5G (NR) mMTC Devices by Vipin Sharma, Rajeev Kumar Arya, Sandeep Kumar

“…In this paper, we have proposed a channel prediction scheme based on a deep learning (DL) algorithm possessed by parametric analysis. In deep learning, the pipeline methodology is used along with the image processing technique to predict the channel condition for optimal selection of the adaptive modulation and coding (AMC) profile. …”
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Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Hui Chen, Mohammed A.H. Ali, Yusoff Nukman, Bushroa Abd Razak, Sherzod Turaev, YiHan Chen, Shikai Zhang, Zhiwei Huang, Zhenya Wang, Rawad Abdulghafor

“…The results demonstrate that the hybrid based detection algorithms outperform others in true-positive rates, false-positive rates, the number of test images, accuracy, and processing time. …”
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3D Buildings Change Detection from Aerial and Satellite Stereo Imagery Using Kullback–Leibler Divergence Algorithm by Sitav H. Abdullah, Haval A. Sadeq, Dleen M. Salih

“…Three study areas have been selected for the algorithms test, located in Erbil-Iraq. The assessment shows that the KLD detected changes better than other methods after removing the small fragments through the post-processing step. …”
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Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

“…Ecosystems are deemed vital. Landsat images were used to classify the LU/LC pattern using ERDAS Imagine 2014 software and the LU/LC were classified using the Maximum Likelihood Algorithm of Supervised Classification. …”
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Bottom Plate Damage Localization Method for Storage Tanks Based on Bottom Plate-Wall Plate Synergy by Yunxiu Ma, Linzhi Hu, Yuxuan Dong, Lei Chen, Gang Liu

“…Building upon these findings, correlation matching was implemented on guided wave signals received by corresponding array elements from both the bottom plate and wall plate, followed by total focusing imaging (TFM) using the processed signals. Results demonstrate that the collaborative bottom plate-wall plate detection imaging cloud maps, after implementing signal correlation matching, effectively suppress artifacts compared with imaging results obtained solely from bottom plate arrays. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“… Abstract BackgroundThe application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. …”
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A New Approach Combining RSA and ElGamal Algorithms: Advancements in Encryption and Digital Signatures Using Gaussian Integers by Yahia Awad, Douaa Jomaa, Yousuf Alkhezi, Ramiz Hindi

“…In contrast to existing research predominantly focused on optical image processing, our work extends the scope to a broader range of applications, enhancing both theoretical insights and practical implementations of cryptographic schemes. …”
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A Subimage Autofocus Bistatic Ground Cartesian Back-Projection Algorithm for Passive Bistatic SAR Based on GEO Satellites by Te Zhao, Jun Wang, Zuhan Cheng, Ziqian Huang, Xueming Song

“…As an evolutionary advancement to conventional synthetic aperture radar (SAR), passive bistatic SAR (PBSAR) utilizing geostationary orbit (GEO) satellite signals demonstrates significant potential for high-resolution imaging. However, PBSAR faces dual challenges in computational efficiency and phase error compensation. …”
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DCS-YOLOv5s: A Lightweight Algorithm for Multi-Target Recognition of Potato Seed Potatoes Based on YOLOv5s by Zhaomei Qiu, Weili Wang, Xin Jin, Fei Wang, Zhitao He, Jiangtao Ji, Shanshan Jin

“…This study initiates with data augmentation of the seed tuber images obtained via the image acquisition system, employing strategies such as translation, noise injection, luminance modulation, cropping, mirroring, and the Cutout technique to amplify the dataset and fortify the model’s resilience. …”
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Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process by Orsolya Péterfi, Nikolett Kállai-Szabó, Kincső Renáta Demeter, Ádám Tibor Barna, István Antal, Edina Szabó, Emese Sipos, Zsombor Kristóf Nagy, Dorián László Galata

“…The particle size data acquired in real time with the endoscopic imaging system corresponded with the reference methods, demonstrating the feasibility of the proposed machine vision-based method as a process analytical technology tool for in-line process monitoring.…”
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Discrimination Features by Wavelet Transformation by Faten Mustafa, Turkan Khalil, Almas Khalil

“…The results showed that the classification of images resulting from the wavelet transformation was accurate and of high amount (%96.715) compared to the results of the classification of non-original images using the improved wavelet transformation, with the accuracy of the classification (%92.652) and to obtain a clear picture parameters for the study of high quality. especially when discrimination features such as terrestrial lake, the body of dams and residential areas in addition to discrimination agricultural areas, the classification algorithm, which was used in this study, is an algorithm of Mahalanobis Distance.…”
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Le profil : une rhétorique dispositive by Louise Merzeau

“…More than a self-image, the digital ethos is based on a conversational system powered by an algorithmic processing of metadata. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…For such a purpose, brain sMRI images from the ADNI database were pre-processed, and a set of 22 texture statistical features from the sMRI gray-level co-occurrence matrix (GLCM) were extracted from various slices within different anatomical planes. …”
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The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision by Yanqing Qiu, Zhinan Zhao, Tingting Lang, Wei Liu

“…The system’s operational flow and image algorithms are designed to achieve automatic calibration of the weld seam orientation. …”
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Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis by Mehrsa Moannaei, Faezeh Jadidian, Tahereh Doustmohammadi, Amir Mohammad Kiapasha, Romina Bayani, Mohammadreza Rahmani, Mohammad Reza Jahanbazy, Fereshteh Sohrabivafa, Mahsa Asadi Anar, Amin Magsudy, Seyyed Kiarash Sadat Rafiei, Yaser khakpour

“…However, they could simplify the diagnosing process. Further studies are required to improve algorithms.…”
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VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

“…Further the model goes through two level optimization process where optimal hyperparameters identified through experimentation is given as parameters to genetic algorithm for optimization of VCNet during training. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…This paper attempts to address these issues by offering a novel method (ANN-SVM-IP) that integrates image processing (IP)-based segmentation and ML algorithms (ANN-SVM) for extracting and classifying exterior defects in apple fruits. …”
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