OCT Angiography: An Upcoming Tool for Diagnosis and Treatment of Retinal Vascular Diseases by Purnima Sood, Nalini Saxena, Dinesh Talwar

“…Optical Coherence Tomography (OCT) angiography is an upcoming non-invasive and dyeless imaging modality which depicts retinal microvasculature by processing scans taken repeatedly at the same location, at different points of time using Split-spectrum Amplitude Decorrelation Angiography (SSADA) algorithm. The currently available Optovue AngioVue System uses spectral-domain technology, an 840-nm laser, and SSADA algorithm. …”
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Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study by Sajjad Fazeli, Mohammad Amin Moradkhani, Behrouz Bayati

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Integrating Social Sustainability into Supply Chain Design: Optimization of a Capacitated Two-Echelon Location-Routing Problem by Mohamed Nafea, Lamia A. Shihata, Maggie Mashaly

“…Under the umbrella of optimization technology, the algorithm used to solve the problem is a genetic algorithm. …”
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Adaptive Ruminant Optimization With LoRa-Based Communication for Formation Control of Multiple UAVs by Muhammad Aamir Khan, Zain Anwar Ali, Muhammad Haris Muneer, Raza Hasan

“…Lastly, simulations demonstrate the better convergence and efficiency of the designed strategy by comparing it with classic algorithms. The simulations also show that the proposed method successfully maintains formation control in all three scenarios.…”
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On Some Approaches to the Solution of the Problem «Useful Proof-of-work for Blockchains» by Valeriy G. Durnev, Dmitry M. Murin, Valery A. Sokolov, Dmitry Ju. Chalyy

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Theoretical investigation of photonic spin Hall effect based on layered metastructure with graphene regulation by WOA for encoding and encryption by Na Pei, Ye Zheng, Yue-Qi Tang, Xing-Zhou Tang, Hai-Feng Zhang

“…To further optimize coding performance, the Beluga optimization algorithm is employed to optimize the PSHE displacement. …”
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The effects of nursing care package implementation on pressure injuries prevention in the intensive care unit by Sevda Önen, Özlem Doğu

“…Abstract Aim The study was aimed to evaluate the effect of the care package prepared in accordance with the algorithm in the intensive care unit on the prevention of pressure injuries. …”
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Multi objective elk herd optimization for efficient structural design by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, Gulothungan G, Mohammad Khishe

“…More concrete statistical analysis through Friedman rank test also ascertains the robustness and efficiency of the algorithm, especially at high complexities in optimization. …”
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Robust Resilience Blocks Detection Problem in Dynamic Social Networks by Yuxin Gao, Jianming Zhu, Peikun Ni, Guoqing Wang

“…Our findings not only underscore the algorithm’s efficiency but also highlight its potential for real-world deployment in dynamic network analysis.…”
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Assessment of Pre-test and Clinical Probability in the Diagnosis of Chronic Coronary Syndrome — What's New? by A. N. Sumin, A. V. Shcheglova

“…The proposals of experts on new algorithms for the choice of non-invasive / invasive examination of this category of patients were also considered. …”
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Deep representation learning using layer-wise VICReg losses by Joy Datta, Rawhatur Rabbi, Puja Saha, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

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Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis by Junaid Tariq, Imran Javed, Touseef Sadiq, Hameedur Rahman, Ashfaq Hussain Farooqi, Amir Ijaz

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Research on Defect Detection of Bare Film in Landfills Based on a Temperature Spectrum Model by Feixiang Jia, Yayu Chen, Wei Hao

“…We also analyzed the changes in the temperatures of the complete and defect areas over time and extracted the temperature characteristic curves. …”
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept stu... by Lorenzo Ruinelli, Pietro Cippà, Chantal Sieber, Clelia Di Serio, Paolo Ferrari, Antonio Bellasi

“…Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…”
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Comparison of Neural Network, Ordinary Kriging, and Inverse Distance Weighting Algorithms for Seismic and Well-Derived Depth Data: A Case Study in the Bjelovar Subdepression, Croat... by Ana Brcković, Tomislav Malvić, Jasna Orešković, Josipa Kapuralić

“…Two other algorithms were also tested, namely, random forest (RF) and extreme gradient boosting (XGB) algorithms, but they were rejected as inappropriate for this purpose solely based on the visuals of the obtained maps, which did not follow any interpretable geological structures. …”
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Land-use land-cover dynamics of Hari-Ke-Pattan wetland using machine learning algorithm, remote sensing and GIS techniques in google earth engine by Apperdeep Kaur, Jashanjot Singh

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Custom Patient-Specific 3D-Printed Titanium Truss Tibiotalocalcaneal Arthrodesis Implants for Failed Total Ankle Replacements: Classification, Technical Tips and Treatment Algorith... by Thomas L. Lewis BSc (Hons) MBChB (Hons) FRCS (Tr&Orth) MFSTEd, Roland Walker BSc MSc MBBS FRCS(Tr&Orth), Yousif Alkhalfan MB BCh BAO MRCS, Ahmed Latif MBBChir, FRCS(Tr&Orth), MD, Ali Abbasian MBBS FRCS(Tr&Orth)

“…Technical tips, classification and a treatment algorithm were developed based on our initial experience. …”
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Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality. by Akio Tamura, Manabu Nakayama, Yoshitaka Ota, Masayoshi Kamata, Yasuyuki Hirota, Misato Sone, Makoto Hamano, Ryoichi Tanaka, Kunihiro Yoshioka

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Facilitating Circular Transition in the Construction Industry: Optimizing a Prefabricated Construction Site Layout Using a Novel BIM-Integrated SLP-GA Model by Lin Wang, Qi Wang, Shuxiu Dong, Yue Cao, Liang Wang

“…The proposed model improves the accuracy and visualisation of layout planning through BIM technology, enabling dynamic adjustments and real-time data integration. It also incorporates genetic algorithms to address complex multi-objective optimisation problems, avoiding local optima and overcoming the limitations of traditional SLP methods that rely on subjective judgements. …”
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A novel mobile robot path planning method based on neuro-fuzzy controller by Abbas Mostafanasab, Mohammad Bagher Menhaj, Mahnaz Shamshirsaz, Rasul Fesharakifard

“…Also, this algorithm is able to distance the robots from the obstacles (i.e. it  provides a solution to the obstacle avoidance problem). …”
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