TeamPlus: A data-driven tool utilizing a Genetic Algorithm for optimal software team formation by Felipe Cunha, Mirko Perkusich, Danyllo Albuquerque, Kyller Gorgônio, Hyggo Almeida, Angelo Perkusich

“…We implemented this tool using a Genetic Algorithm (GA) with Convex Combination Crossover and validated it through two approaches: an experiment comparing our GA with traditional methods (i.e., Partially Mapped Crossover and One-Point Crossover) using data from 47 projects and 149 developers, and an evaluation of fifteen features by an industry expert, comparing them with tools from six recent studies. …”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

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ENERGY SAVING IN EXTRACTIVE DISTILLATION by E. A. Anokhina

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Impact of calibration set size for predicting soil fertility attributes using local pXRF spectral libraries by José Vinícius Ribeiro, Tiago Rodrigues Tavares, José Francirlei de Oliveira, Graziela M.C. Barbosa, Fábio Luiz Melquiades

“…Applying the Kennard-Stone sampling selection algorithm, calibration set sizes ranged from 36 to 276 samples, with increments of 20, for the Cambé field, and from 20 to 140 samples, also with increments of 20, for the Toledo field. …”
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Effect of Social Sustainability on Supply Chain Resilience Before, During, and After the COVID-19 Pandemic in Mexico: A Partial Least Squares Structural Equation Modeling and Evolu... by Miguel Reyna-Castillo, Alejandro Santiago, Ana Xóchitl Barrios-del-Ángel, Francisco Manuel García-Reyes, Fausto Balderas, José Ignacio Anchondo-Pérez

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Design of Radix-8 Unsigned Bit Pair Recoding Algorithm-Based Floating-Point Multiplier for Neural Network Computations by J. Jean Jenifer Nesam, S. Sankar Ganesh

“…The computational cost of determining a 2’s complementary circuit and neglecting the sign bit extension of each partial product row in the Modified Booth Encoding (MBE) algorithm is effectively eliminated by BPR algorithm. …”
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Optimizing solar maximum power point tracking with adaptive PSO: A comparative analysis of inertia weight and acceleration coefficient strategies by Denesh Sooriamoorthy, Aaruththiran Manoharan, Siva Kumar Sivanesan, Soon Kian Lun, Alexander Chee Hon Cheong, Sathish Kumar Selva Perumal

“…However, conventional MPPT techniques, such as Perturb and Observe (P&O), often suffer from power losses, slow convergence, and poor performance under partial shading conditions (PSC). Metaheuristic algorithms such as Particle Swarm Optimization (PSO) are explored extensively for MPPT applications. …”
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Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

“…Our method chooses the best image among them based on the tumor size, initial location and shape to avoid the partial volume effects. The selected algorithms to test our method are Active Contour and Otsu Thresholding algorithms. …”
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Artificial neural network algorithm for time dependent radiative Casson fluid flow with couple stresses through a microchannel by Pradeep Kumar, Felicita Almeida, Qasem Al-Mdallal

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RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

“…The widespread cultivation of apples highlights the importance of efficient and accurate apple detection algorithms in robotic picking technology. The accuracy of current apple picking detection algorithms is still limited when the distribution is dense and occlusion exists, and there is a significant challenge in deploying current high accuracy detection models on edge devices with limited computational resources. …”
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Accurate estimation of CO2 adsorption on activated carbon with multi-layer feed-forward neural network (MLFNN) algorithm by Alireza Rostami, Mohammad Amin Anbaz, Hamid Reza Erfani Gahrooei, Milad Arabloo, Alireza Bahadori

“…The adsorption equilibrium data for carbon dioxide were predicted with two commonly used isotherm models in order to compare with multi-layer feed-forward neural network (MLFNN) algorithm for a wide range of partial pressure. As a result, the ANN-based algorithm shows much better efficiency and accuracy than the Sips and Langmuir isotherms. …”
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A Variable Selection Method Based on Fast Nondominated Sorting Genetic Algorithm for Qualitative Discrimination of Near Infrared Spectroscopy by Hubin Liu, Na Liu, Yuhui Yuan, Cihai Zhang, Longlian Zhao, Junhui Li

“…A variable selection method based on a fast nondominated-ranking genetic algorithm (NSGA-II) was proposed in this paper for qualitative discrimination of NIR spectra. …”
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iFQS: An Integrated FCNP-Q-Learning-Based Scheduling Algorithm for On-Demand Charging in Wireless Rechargeable Sensor Networks by Man Gun Ri, Chun Hyok Kim, Se Hun Pak, Chol Min Pong

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Hyperspectral estimation of soil organic carbon content in the west lakeside oasis of Bosten Lake based on successive projection algorithm by NIU Fangpeng, LI Xinguo, MAMATTURSUN•Eziz, ZHAO Hui

“…Taking the west lakeside oasis of Bosten Lake as the study area, using the measured soil organic carbon content and hyperspectral data, the successive projection algorithm (SPA) was used to filter the characteristic variables from the full-band spectral data, and then the full-band and characteristic bands were used to construct partial least square regression (PLSR) and support vector machine (SVM) models to estimate soil organic carbon content. …”
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Estimation of Daylily Leaf Area Index by Synergy Multispectral and Radar Remote-Sensing Data Based on Machine-Learning Algorithm by Minhuan Hu, Jingshu Wang, Peng Yang, Ping Li, Peng He, Rutian Bi

“…The selected features were sensitive to daylily LAI. The RFR algorithm had good anti-noise performance and strong fitting ability; thus, its accuracy was better than the partial least squares regression and artificial neural network models. …”
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Development of an artificial intelligence-based algorithm to classify images acquired with an intraoral scanner of individual molar teeth into three categories. by Nozomi Eto, Junichi Yamazoe, Akiko Tsuji, Naohisa Wada, Noriaki Ikeda

“…In this study, we generated and evaluated an artificial intelligence-based algorithm that classified images of individual molar teeth into three categories: (1) full metallic crown (FMC); (2) partial metallic restoration (In); or (3) sound tooth, carious tooth or non-metallic restoration (CNMR).…”
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms by Sophie G. Zaloumis, Megha Rajasekhar, Julie A. Simpson

“…Learning curves were produced for two machine learning algorithms, sparse Partial Least Squares-Discriminant Analysis plus Support Vector Machines (sPLSDA + SVMs) and random forests. …”
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PO77 | The clinical awareness of mixing test interpretation in the era of complex reporting algorithm: do we forget the origins?

“… Background and Aims: Plasma mixing test is a simple laboratory procedure, which is performed on samples from patients with coagulation screening tests prolonged (mainly the activated partial thromboplastin (APTT), but also the prothrombin time (PT) or both). …”
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Transformer–BiLSTM Fusion Neural Network for Short-Term PV Output Prediction Based on NRBO Algorithm and VMD by Xiaowei Fan, Ruimiao Wang, Yi Yang, Jingang Wang

“…Then, the Transformer decoder partially fuses the BiLSTM network and retains the encoder to obtain the body of the prediction model, followed by explaining the principle of the NRBO algorithm. …”
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Paradigmatic Relations of the Metalanguage of Metalinguistics by Sergey V. Lesnikov

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