Bioinformatic Analysis of Complex In Vitro Fertilization Data and Predictive Model Design Based on Machine Learning: The Age Paradox in Reproductive Health by Myrto A. Lantzi, Eleni Papakonstantinou, Dimitrios Vlachakis

“…Concurrently, the utilization of machine learning algorithms has facilitated the development and implementation of predictive models. …”
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Métodos de geração de colunas para problemas de atribuição Column generation methods for assignment problems by Edson Luiz França Senne, Luiz Antonio Nogueira Lorena, Silvely Nogueira de Almeida Salomão

“…Computational experiments are presented in order to confirm the effectiveness of the proposed algorithms.…”
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Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories by John T. Delaney, M. Van Appledorn, N. R. De Jager, K. L. Bouska, J. J. Rohweder

“…Flood frequency, distance to contiguous floodplain, distance to forest edge, and distance to invaded wet meadow were among the most important environmental predictors across the three algorithms. Generally, the mean probability of reed canarygrass presence decreased with increasing flood depth, distance to contiguous floodplain, distance to invaded wet meadow, forest cover, and forest height, while relationships with other predictors were more variable. …”
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Network intrusion detection model using wrapper based feature selection and multi head attention transformers by Muhammad Umer, Muhammad Tahir, Muhammad Sardaraz, Muhammad Sharif, Hela Elmannai, Abeer D. Algarni

“…The model uses a wrapper-based feature selection technique using machine learning algorithms to select the best features, which are then combined and fed into a Multi-Head Attention-based transformer for getting the predictions. …”
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Determinants of artificial intelligence electrocardiogram-derived age and its association with cardiovascular events and mortality: a systematic review and meta-analysis by Shervin Mossavarali, Ali Vaezi, Zahra Gholami, Alireza Molaei, Mir Saeed Yekaninejad, Folkert W. Asselbergs, Akbar Shafiee

“…Seventeen original studies utilizing AI algorithms to measure HDA and cardiovascular risk factors, outcomes, or mortality were included. …”
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Design of a microservices-based architecture for residential energy efficiency monitoring by Ivonne Nuñez, Carlos Rovetto, Edmanuel Cruz, Andrzej Smolarz, Dimas Concepcion, Elia Esther Cano

“…This proposal seeks to enable end users to effectively monitor and control their electrical devices while effectively integrating them into a wide network of power systems. …”
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Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories by Stanley Cheung, Yanir London, Yuan Yuan, Bassem Tossoun, Yiwei Peng, Yingtao Hu, Thomas Van Vaerenbergh, Di Liang, Chong Zhang, Geza Kurczveil, Raymond G. Beausoleil

“…These non-volatile III-V/Si micro-ring lasers (MRLs) exhibit non-volatile wavelength shifts of  ~80 pm with  ~40 dB signal extinction ratio while consuming 0 electrical static tuning power. …”
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Multi-Plane Virtual Vector-Based Anti-Disturbance Model Predictive Fault-Tolerant Control for Electric Agricultural Equipment Applications by Hengrui Cao, Konghao Xu, Li Zhang, Zhongqiu Liu, Ziyang Wang, Haijun Fu

“…Due to the rich third-harmonic back electromotive force (EMF) content of five-phase FIFT-IPM motors, the existing model predictive current fault-tolerant control algorithms fail to effectively track fundamental and third-harmonic currents. …”
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Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control by Ramesh Arvind Naagarajan, Kiran Kumar Sathyanarayanan, Nadja Bauer, Stefan Streif, Stefan Streif

“…Potential reasons are the lack of transparency and the understandability of the control algorithms. This study introduces a language-based support system to improve the usability of advanced control strategies like MPC. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…We assess the most widely used datasets and evaluation metrics, providing a comparison of leading algorithms in terms of precision and computational efficiency in tabular form. …”
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Tube-Based Robust Model Predictive Control for Autonomous Vehicle with Complex Road Scenarios by Yang Chen, Youping Sun, Junming Li, Jiangmei He, Chengwei He

“…To facilitate computational tractability and algorithmic implementation, the model is systematically linearized and discretized. …”
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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…Additionally, deep learning algorithms often demand substantial computational resources, limiting their use on low-capacity platforms. …”
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Handheld NIR Spectroscopy Combined with a Hybrid LDA-SVM Model for Fast Classification of Retail Milk by Francesco Maria Tangorra, Annalaura Lopez, Elena Ighina, Federica Bellagamba, Vittorio Maria Moretti

“…This capability was greater in distinguishing high-quality mountain and hay milk from the other types, while resulting in less successful class assignment for extended shelf-life milk. …”
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Trends in the sustainable use of artificial intelligence: a bibliometric approach by Alejandro Valencia-Arias, Jesus Alberto Jimenez Garcia, Toño Eldrin Alvites Adan, Ezequiel Martínez Rojas, Jackeline Valencia, Erica Agudelo-Ceballos, Hernán Uribe Bedoya, Gustavo Adolfo Moreno López

“…Abstract The application of artificial intelligence (AI) in sustainable practices entails the utilization of techniques and algorithms to address environmental, social, and economic challenges with the objective of promoting sustainability across various sectors. …”
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Single Vector Hydrophone DOA Estimation: Leveraging Deep Learning with CNN-CBAM by Fanyu ZENG, Yaning HAN, Hongyuan YANG, Dapeng YANG, Fan ZHENG

“…However, traditional direction of arrival (DOA) estimation algorithms often struggle to maintain high accuracy in nonstationary noise conditions. …”
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Selective opposition based constrained barnacle mating optimization: Theory and applications by Marzia Ahmed, Mohd Herwan Sulaiman, Md. Maruf Hassan, Md. Atikur Rahaman, Masuk Abdullah

“…After that, it is put through its paces in a real-world case study, where it proves to be superior to the most cutting-edge algorithms available.…”
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Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis by Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang

“…However, existing assessment methods usually provide a qualitative description of whether children imitate while ignoring individual variability in their imitation ability. …”
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Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming by Caterina Losacco, Gianluca Pugliese, Lucrezia Forte, Vincenzo Tufarelli, Aristide Maggiolino, Pasquale De Palo

“…The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. …”
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Systematic Review on the Use of CCPM in Project Management: Empirical Applications and Trends by Adriano de Oliveira Martins, Vanderlei Giovani Benetti, Fernando Elemar Vicente dos Anjos, Débora Oliveira da Silva, Charles Jefferson Rodrigues Alves

“…The findings strengthen the theoretical robustness of the method while indicating concrete opportunities for empirical validation in real-world organizational settings.…”
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System Identification of Vehicle’s Lateral Dynamics for Open-Source Autonomous Driving Simulators by Yong-Ha Lee, Young-Jin Roh, Dong-Hyuk Park, Jae-Un Lee, Jong-Hoon Won

“…Open-source autonomous driving simulators (ADSs) are widely used in the design of autonomous driving algorithms. An accurate estimation of the lateral dynamics of vehicles is essential for accurately controlling an autonomous vehicle, where vehicle parameters are required. …”
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