An incremental learning framework for pipeline weld crack damage identification and leakage rate prediction by Jing Huang, Zhifen Zhang, Yanlong Yu, Yongjie Li, Shuai Zhang, Rui Qin, Ji Xing, Wei Cheng, Guangrui Wen, Xuefeng Chen

“…Firstly, the adaptive threshold optimization algorithm is introduced into the self-organizing incremental neural network to update and increase the crack leakage pattern. …”
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Mode Optimization of Microelectromechanical-System Traveling-Wave Ultrasonic Motor Based on Kirigami by Rong Li, Longqi Ran, Cong Wang, Jiangbo He, Wu Zhou

“…An extended Nelder–Mead Simplex Algorithm with the advantages of derivative-free and bound constraints was employed to search the solution. …”
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BIMLP Model Based on Deep Learning for Predicting Electrical Load Demand by Somayeh Talebzadeh, Reza Radfar, Abbas Toloei Ashlaghi

“…Furthermore, the proposed system, BIMLP (Bagging-Improved MLP), is designed to iteratively improve its parameters using a binary search algorithm and reduce the learning error using bagging, a technique for ensemble learning. …”
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Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Colleen Farrelly, MS, Matthew J. Budoff, MD, Bradley Erickson, MD, PhD, Jeremy D. Collins, MD, Michael J. Blaha, MD, Tim Leiner, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, Jennifer Rozenblit, PhD, Deepa Sarkar, PhD, Gunnar Carlsson, PhD

“…Despite the challenges and future directions, which need to be addressed, TDA shows potential as a valuable tool in assessing coronary atherosclerosis, specifically in noncalcified plaque detection, possibly surpassing traditional techniques in capturing the disease’s intricate patterns. A Pubmed, Google Scholar, Scopus - based literature review was undertaken using the following search terms: Topological data analysis in Coronary atherosclerosis, Topological data analysis in Cardiovascular.…”
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Achieving Optimal Injection Molding Parameters to Minimize Both Shrinkage and Surface Roughness Through a Multi-Objective Optimization Approach by Saad M. S. Mukras, Hussein Zein Korany, Hanafy M. Omar

“…A multi-objective optimization problem was formulated and solved using the pattern search algorithm, generating a Pareto front that highlights the trade-off between the two objectives. …”
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The Fetus Points to the Diagnosis of Rare Skeletal Dysplasia: Stuve–wiedemann Syndrome: Retrospective Case Series and Prenatal Review by Muzibunnisa A Begam, Muhammad Hasan, Fares Chedid, Hisham Mirghani

“…The consistent findings that helped in reaching the suspicion were the typical pattern of long bone involvement (bowing of tibia > femora, relative sparing of the fibula and upper limb bones, normal scapulae, and clavicles), and the presence of camptodactyly. …”
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Diagnosis and Management of Alzheimer’s Disease in Primary Care: A Real-World Study in Ontario, Canada by Zahinoor Ismail, Melanie Wilson, Hany Khalifa, Daniela Belovich, Eileen Shaw, Tram Pham, Suzanne McMullen, Yuhao Chen, Nafiz Sadman, Jackson Cai, Farhana Zulkernine, David Barber

“…Individuals ≥50 years old with dementia or AD were identified using AD and dementia-related diagnostic codes, medications, and keywords searched using natural language processing (NLP) and Artificial Intelligence (AI) algorithms from EMR chart notes. …”
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The effects of lactic acid bacteria and yeast as probiotics on the performance, blood parameters, nutrient digestibility, and carcase quality of rabbits: a meta-analysis by Danung Nur Adli, Osfar Sjofjan, Mohammad Miftakhus Sholikin, Cecep. Hidayat, Dicky Tri Utama, Anuraga Jayanegara, Muhammad Halim Natsir, Yuli Frita Nuningtyas, Muhammad Pramujo, Poppy Satya Puspita

“…A dataset was constructed based on relevant published papers. An algorithm was constructed from 2004 to 2022, with a search in Scopus, Web of Science, Pub Med, and Medline using the MESH terms ‘probiotics’, ‘rabbit’, ‘performance’, ‘blood parameters’, ‘nutrient digestibility’, and ‘carcasses’. …”
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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

“…Therefore, this study proposes a modified Moth Flame Optimization Algorithm (MFOOA). Nature passed it on to us. The main inspiration for this optimizer is the lateral flight pattern used by moths in nature. …”
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Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

“…Several machine learning models were evaluated, including random forest, XGBoost, and CatBoost, with model optimization performed using the Sparrow Search Algorithm (SSA) to enhance prediction accuracy. …”
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A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox by Jingbo Gai, Junxian Shen, He Wang, Yifan Hu

“…Aiming at the problems of poor self-adaptive ability in traditional feature extraction methods and weak generalization ability in single classifier under big data, an internal parameter-optimized Deep Belief Network (DBN) method based on grasshopper optimization algorithm (GOA) is proposed. First, the minimum Root Mean Square Error (RMSE) in the network training is taken as the fitness function, in which GOA is used to search for the optimal parameter combination of DBN. …”
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Open science practices in demographic research: An appraisal by Ugofilippo Basellini

“…METHODS: All relevant publications in four leading journals of anglophone demography – Demography, Population and Development Review, Population Studies, and Demographic Research – over the last decade are analysed. Using a text-search algorithm, two quantitative metrics of open scientific knowledge are estimated: the share of publications that can be openly accessed, and the share of publications providing open software codes for reproducibility or replicability purposes. …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…Causal inferences were explored using the Greedy Equivalence Search algorithm. Validation in the UCHDW included association tests and comparison to control groups. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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Electroencephalographic monitoring in detection and prediction of delayed cerebral ischemia due to non-traumatic subarachnoid hemorrhage by I. V. Okuneva, M. V. Sinkin, A. I. Evdokimov, A. V. Prirodov

“…During the continuous videoEEG monitoring 2 days before clinical deterioration and appearance of ischemic changes in the right cerebral hemisphere on computed tomography scans, an ictal-interictal continuum pattern was noted to emerge. Future studies should be aimed at clarifying and validating the most informative DCI biomarkers including while recording EEG with intracranial electrodes that may contribute to development of automated algorithms for DCI detection.…”
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Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity by Su Jin Park, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

“…In particular, the multiobjective Nondominated Sorting Genetic Algorithm-II and the neighborhood local search method are employed in a logit-based mode-choice model in order to incorporate the variable transit demand arising from the private vehicle traffic volume. …”
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Identification of core sub-team on scientific collaboration networks with Shapley method by Lixin Zhou, Chen Liu, Xue Song

“…To efficiently identify high-contributing sub-teams, we employ the Monte Carlo Tree Search algorithm, along with an approximation strategy to estimate Shapley values under computational constraints. …”
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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures by Mohammed Alqarni, Ali Alqarni

“…To optimize model performance, hyperparameters were fine-tuned using the Stochastic Fractal Search (SFS) algorithm. Among the tested models, BNN obtained the best precision for fitting, with a test R² of 0.9926 and a MSE of 3.07 × 10⁻⁸, proving outstanding accuracy in fitting the rivaroxaban data. …”
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Hybrid Blockchain-Based Multi-Operator Resource Sharing and SLA Management by Sidra Tul Muntaha, Qasim Z. Ahmed, Faheem A. Khan, Zaharias D. Zaharis, Pavlos I. Lazaridis

“…For the upper-layer game, we determine the pricing strategies of seller MNOs using Pattern Search Algorithm (PSA), Genetic Algorithm (GA), and Fmincon, comparing their performances. …”
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Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…The results indicate that this framework preserves high accuracy while significantly reducing time requirements compared to Grid Search and Genetic Algorithm optimization.…”
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