OPTIMASI PENJADWALAN PROYEK DENGAN PENYEIMBANGAN BIAYA MENGGUNAKAN KOMBINASI CPM DAN ALGORITMA GENETIKA by Riza Arifudin

“…The project scheduling must be prepared systematically by using resources effectively and efficiently so that project objectives can be achieved optimally. …”
Get full text

Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

“…Using a complete annual dataset of 8,760 hourly wind speed observations from the MERRA-2 platform, ten machine learning algorithms were systematically evaluated, including Random Forest, XGBoost, and an advanced Stacking ensemble model. …”
Get full text

New non-primitive codes formed from primitive BCH and Hamming codes and their norm evaluation by V. K. Konopelko, V. A. Lipnitski

“…Two algorithms for the implementation of plus-decoding by permutation normal methods are proposed. …”
Get full text

Non-Invasive Bioelectrical Characterization of Strawberry Peduncles for Post-Harvest Physiological Maturity Classification by Jonnel Alejandrino, Ronnie Concepcion, Elmer Dadios, Ryan Rhay Vicerra, Argel Bandala, Edwin Sybingco, Laurence Gan Lim, Raouf Naguib

“…Spectra from their peduncles were measured from 1 kHz to 1 MHz, collecting four parameters (magnitude (<i>Z</i>(<i>f</i>)), phase angle (<i>θ</i>(<i>f</i>)), resistance (<i>R</i>(<i>f</i>)), and reactance (<i>X</i>(<i>f</i>))), resulting in 80,000 raw data points. Through systematic spectral preprocessing, Bode and Cole–Cole plots revealed a distinction between PR and CM strawberries. …”
Get full text

Dilated cardiomyopathy evaluation with Imagenomics: combining multimodal cardiovascular imaging and genetics by Kristian Galanti, Ghaith Sharaf Dabbagh, Fabrizio Ricci, Sabina Gallina, Roberta Giansante, Ron Jacob, Edmond Obeng‐Gyimah, Leslie T. Cooper Jr, Sanjay K. Prasad, David H. Birnie, Andrew P. Landstrom, Selma F. Mohammed, Saidi Mohiddin, Mohammed Y. Khanji, Anwar A. Chahal

“…The aim of this review is to propose a systematic approach to the diagnosis of DCM, emphasizing the importance of genetics and clinical findings for a precise and practical clinical approach. …”
Get full text

Artificial intelligence in molecular and genomic prostate cancer diagnostics by A. O. Morozov, A. K. Bazarkin, S. V. Vovdenko, M. S. Taratkin, M. S. Balashova, D. V. Enikeev

“…They have the potential to develop artificial intelligence (AI) algorithms by processing large amounts of data and define connections between them.Objective. …”
Get full text

ODIASP: An Open‐Source Software for Automated SMI Determination—Application to an Inpatient Population by Katia Charrière, Antoine Ragusa, Béatrice Genoux, Antoine Vilotitch, Svetlana Artemova, Charlène Dumont, Paul‐Antoine Beaudoin, Pierre‐Ephrem Madiot, Gilbert R. Ferretti, Ivan Bricault, Eric Fontaine, Jean‐Luc Bosson, Alexandre Moreau‐Gaudry, Joris Giai, Cécile Bétry

“…ODIASP combines two algorithms to automate L3 slice selection and skeletal muscle segmentation, ensuring a seamless process. …”
Get full text

Emergent behaviors in multiagent pursuit evasion games within a bounded 2D grid world by Sihan Xu, Zhaohui Dang

“…After training with MARL algorithms, pursuers achieved a 99.9% success rate in 1,000 randomized pursuit-evasion trials, demonstrating the effectiveness of the learned strategies. …”
Get full text

Development and multi-cohort validation of a machine learning-based simplified frailty assessment tool for clinical risk prediction by Jiahui Lai, Cailian Cheng, Tiantian Liang, Leile Tang, Xinhua Guo, Xun Liu

“…Methods We conducted a multi-cohort study leveraging data from the National Health and Nutrition Examination Survey (NHANES, n = 3,480), China Health and Retirement Longitudinal Study (CHARLS, n = 16,792), China Health and Nutrition Survey (CHNS, n = 6,035), and Sun Yat-sen University Third Affiliated Hospital CKD cohort (SYSU3 CKD, n = 2,264). Through systematic application of five complementary feature selection algorithms to 75 potential variables, followed by comparative evaluation of 12 machine learning approaches, we developed a parsimonious assessment tool for predicting frailty diagnosis, chronic kidney disease progression, cardiovascular events, and all-cause mortality. …”
Get full text

Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis by Yuanbo Bi, Dongrui Li, Ruochen Pang, Chengxv Du, Da Li, Xiaoyv Zhao, Haitao Lv

“…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …”
Get full text

Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification by Wenqiang Li, Wenqiang Li, Dongdong Yan, Dongdong Yan, Dongdong Yan, Dongdong Yan, Wei Hu, Wei Hu, Wei Hu, Wei Hu, Xiaoling Su, Zheng Zhang, Zheng Zhang, Zheng Zhang, Zheng Zhang

“…Machine learning (ML) models have shown promise in predicting adverse clinical outcomes. However, a systematic approach that combines high predictive accuracy with model simplicity is still lacking.MethodsThis retrospective study applied three data processing and ML algorithms to address class imbalance and support model development. …”
Get full text

A shape-controlled non-symmetric quaternary refinement scheme by Pakeeza Ashraf, Samra Younus, Amna Kalsoom, Jihad Younas

“…Abstract The interpolating and approximating refinement schemes are well-studied algorithms to generate smooth curves and surfaces. In this paper, we propose a novel non-symmetric refinement scheme that combines the strengths of interpolating and approximating refinement algorithms. …”
Get full text

Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…It highlights that the integration of AI by optimization algorithms (such as Genetic Algorithms, particle swarm optimization, and manta ray foraging optimization) offers an effective path toward the intelligent evolution of WEDM processes. …”
Get full text

Research Review of Agricultural Machinery Power Chassis in Hilly and Mountainous Areas by Yiyong Jiang, Ruochen Wang, Renkai Ding, Zeyu Sun, Yu Jiang, Wei Liu

“…The terrain in hilly and mountainous areas is complex, and the level of agricultural mechanization is low. This article systematically reviews the research progress of key technologies for agricultural machinery power chassis in hilly and mountainous areas, and conducts an analysis of five aspects: the power system, walking system, steering system, leveling system, and automatic navigation and path tracking control system. …”
Get full text

3D spectral CT-based fusion model predicts prognosis and postoperative adjuvant chemotherapy benefit in locally advanced rectal cancer by Shuxuan Fan, Jiaxin Liu, Xiaomeng Yang, Lisha Qi, Xiaomei Lu, Haiwei Liu, Xiaonan Cui

Get full text

Multisystem Abdominal Trauma in Pregnancy: Multidisciplinary Approach to Diagnosis and Treatment by V. V. Aleksandrov, N. A. Burova, S. S. Maskin, V. V. Matyukhin

“…Due to the increase in injury rate and increased social activity in pregnant women, there is an increase in the number of abdominal injuries as a result of accidents, domestic conflicts, and abuse. The absence of systematic reviews and meta-analyses related to the algorithmization of treatment tactics for multisystem abdominal trauma leads to a large percentage of treatment and diagnostic errors and complications, high maternal and perinatal mortality, which, in turn, dictates the need to develop a standardized interdisciplinary approach to the management of this category of patients.Aim of study. …”
Get full text

Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Furthermore, we systematically compare three hyperparameter optimization algorithms, including the sparrow search algorithm (SSA), particle swarm optimization (PSO), and Bayesian optimization (BO). …”
Get full text

Machine-learning-derived prediction models of outcomes for patients with pseudomyxoma peritonei: development and validation in two retrospective cohorts by Yu-Run Cui, Xin-Li Liang, Yan Li

“…The effectiveness of these models in predicting 3-year and 5-year survival rates was systematically assessed, leading to the identification of the most efficient algorithm. …”
Get full text

Neural network classification of Barnes maze search strategy utilization by Scott Ferguson, Coral Hahn-Townsend, Benoit Mouzon, Salina Yathiraj, Giovanni Brunetti, Nicole Saltiel, Cillian E. Lynch, Michael Mullan, Fiona Crawford

“…Quantifying the search strategies used during Barnes maze testing can provide a more direct measurement of spatial memory impairments, and even allow for the detection of impairments to executive functioning and working memory that may impact the ability to utilize non-spatial systematic search strategies. We have developed a machine learning algorithm to automatically quantify search strategy utilization in an unbiased manner. …”
Get full text

Smart Building Skin Design with Dynamic Climate Adaptability of Smart Cities Based on Artificial Intelligence by Wei Zhang

“…Based on the basic theory, this paper establishes a systematic understanding of inlay, studies the design method of complex skin with geometric algorithm as the operating tool, discusses the application of this method in architectural design in combination with practice, more systematically and comprehensively studies the building skin with dynamic climate adaptability, and makes a physical model of building skin with dynamic climate adaptability. …”
Get full text