Anatomic basis for an algorithmic approach for free fibula flap donor side selection in composite oro-mandibular defects by Mohit Sharma, Abhijeet Wakure, Krishnakumar Thankappan, Jimmy Mathew, Dayanand Jairaj, Raghuveer Reddy Dudipala, Subramania Iyer

“…Introduction: Head and neck oncological resections may result in composite oro-mandibular defects involving the oral mucosa (lining), mandibular bone and the skin (cover). …”
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Drug-Induced Autoimmune Hepatitis: Robust Causality Assessment Using Two Different Validated and Scoring Diagnostic Algorithms by Rolf Teschke, Axel Eickhoff, Gaby Danan

“…The aim of this analysis is to harmonize DIAIH cohorts by unifying causality assessments, which may help characterize the features of DIAIH. Methods: Published reports of DIAIH cases were evaluated for the causality assessment methods used to verify the diagnosis of DIAIH. …”
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Modeling habitat suitability for endangered herb (Salvia leriifolia Benth) using Innovative hybrid machine learning algorithms by Emran Dastres, Hamidreza Rabiei-Dastjerdi, Hassan Esmaeili, Mahdis Amiri, Ali Sonboli, Mohammad Hossein Mirjalili

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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…The effectiveness of segmentation algorithms influences the results, necessitating the selection of algorithms based on specific scenarios. …”
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A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm by Fadhil Abbas Fadhil, Farah Tawfiq Abdul Hussien, Teba Walaa Aldeen Khairi, Nikolai Safiullin

“…   Text encryption in video is a vital tool in many industries where protecting sensitive information is of highest concern. Algorithms and automated detection methods commonly struggle to locate hidden text in video frames. …”
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Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms by Ashutosh Shukla, Rupendra Kumar Pachauri, Athar Hussain, Ahmed Ali, Baseem Khan

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UAV Real-Time Target Detection and Tracking Algorithm Based on Improved KCF and YOLOv5s_MSES by Shihai Cao, Ting Wang, Tao Li, Shumin Fei

“…Moreover, when the target is occluded or leaves the view field, it may result in tracking loss of the target. To address these limitations, this work proposes an improved CF tracking algorithm based on some existent ones. …”
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NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families. by Hyun-Myung Woo, Hyundoo Jeong, Byung-Jun Yoon

“…In addition, NAPAbench 2 provides updated benchmark datasets-created using the redesigned network synthesis algorithm-which can be used for comprehensive performance assessment of network alignment algorithms and their scalability.…”
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Optimization of CO2 water-alternating-gas injection parameters based on an improved hunger game search algorithm by WU Gongyi, SUN Yuxin, SUN Xiaofei, JI Hongming, ZHANG Yanyu

“…This new approach formed an improved hunger game search algorithm based on chaotic mapping functions, allowing for collaborative intelligent optimization between the algorithm and reservoir simulation software. …”
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Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods by Mădălina Maria Muraru, Zsuzsa Simó, László Barna Iantovics

“…For instance, an experienced medical doctor may diagnose a case but need expert support that related to another medical specialty. …”
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A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach by Paola Argiento, Anna D'Agostino, Rossana Castaldo, Monica Franzese, Matteo Mazzola, Ekkehard Grünig, Lavinia Saldamarco, Valeria Valente, Alessandra Schiavo, Erica Maffei, Davide Lepre, Antonio Cittadini, Eduardo Bossone, Michele D'Alto, Luna Gargani, Alberto Maria Marra

“…Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. …”
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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study by Jeremy A Balch, Sasank S Desaraju, Victoria J Nolan, Divya Vellanki, Timothy R Buchanan, Lindsey M Brinkley, Yordan Penev, Ahmet Bilgili, Aashay Patel, Corinne E Chatham, David M Vanderbilt, Rayon Uddin, Azra Bihorac, Philip Efron, Tyler J Loftus, Protiva Rahman, Benjamin Shickel

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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

“…Remote photoplethysmography (rPPG) is an emerging technology that may be used to measure BP and hemoglobin concentration noninvasively with just a consumer-grade smartphone, replacing traditional in-person measurements. …”
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Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review by Milad Yousefi, Matin Akhbari, Zhina Mohamadi, Shaghayegh Karami, Hediyeh Dasoomi, Alireza Atabi, Seyed Amirali Sarkeshikian, Mahdi Abdoullahi Dehaki, Hesam Bayati, Negin Mashayekhi, Shirin Varmazyar, Zahra Rahimian, Mahsa Asadi Anar, Daniel Shafiei, Alireza Mohebbi

“…Studies emphasized that ML algorithms are necessary for Alzheimer’s to be successful. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…This practice leads to high synthetic chemical usage because a large portion of the applied insecticide does not reach its intended target; instead, it may affect non-target organisms and pollute the environment. …”
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TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

“…In the first stage of TS-SSA, this paper proposes a many-objective sparrow search algorithm (MaOSSA) to mainly manages the convergence through the adaptive population dividing strategy and the random bootstrap search strategy. …”
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Deep learning-based recognition model of football player’s technical action behavior using PCA–LBP algorithm by Hongtao Chen, Zhengbai Lin, Quan Xu

“…When the number of recognition times was 300, the recognition accuracy of the PCA–LBP algorithm was 24% higher than that of the LBP algorithm. …”
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Robust Adaptive Beamforming Using a Low-Complexity Steering Vector Estimation and Covariance Matrix Reconstruction Algorithm by Pei Chen, Yongjun Zhao, Chengcheng Liu

“…A novel low-complexity robust adaptive beamforming (RAB) technique is proposed in order to overcome the major drawbacks from which the recent reported RAB algorithms suffer, mainly the high computational cost and the requirement for optimization programs. …”
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The Establishment of a Rock Creep Model by Using Creep Bodies via an Improved Gene Expression Programming Algorithm by Pingyang Fan, Junhua Chen, Chuankun Qiu, Junwen Chen, Shan Gao, Jiqing Hou, Min Wang

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Classification of Prominent Cacao Pod Diseases Using Multi-Feature Visual Analysis and k-Nearest Neighbors Algorithm by Earl Clarence San Diego, Seph Gerald Rodrin, Edwin Arboleda

“…Although cacao production aspired to be heightened to cope with the global trend, several difficulties were still needed to be addressed in crop propagation, mainly due to disruptive diseases and pests. In response to this problem, the study devised an algorithm based on k-Nearest Neighbors that can detect whenever a cacao pod was infected with the three most prominent diseases: black pod rot, Monilia, and pod borer infestations. …”
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