Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review by Florin-Stefan Zamfir, Madalina Carbureanu, Sanda Florentina Mihalache

“…Thus, this paper identifies gaps in the current research, discusses ML and DL algorithms in the context of optimizing wastewater treatment processes, and identifies future directions for optimizing these processes through data-driven methods. …”
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Facial Beauty Prediction Combining Dual-Branch Feature Fusion With a Stacked Broad Learning System by Junying Gan, Hantian Chen, Wenchao Xu, Huicong Li, Zhenxin Zhuang, Zhen Chen

“…Facial beauty prediction (FBP) is a key computer vision task that uses algorithms to assess facial attractiveness. Current models rely on single feature extraction, such as using a single convolutional neural network to extract local feature, failing to capture other potentially more important information contained within facial data and limiting feature diversity. …”
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Modern strategies of alternative insulin delivery systems by І. О. Vlasenko, L. L. Davtian, V. V. Hladyshev

“…The aim of the work was to study the current state of the latest developments in alternative routes of insulin delivery, their technology, and clinical trials. …”
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Economic approach for optimal allocation of irrigation water in water-scarce region by Xueliang Zhang, Li Ren, Jianshi Zhao

“…Optimizing irrigation water allocation is critical for maximizing grain yields in water-scarce regions. Traditional algorithms face challenges such as lack of interpretable criteria, the curse of dimensionality, and instability. …”
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The application of statistical methods to assess economic assets by D. V. Dianov

“…The application of mathematical-statistical apparatus, therefore, is an objective necessity for obtaining general indicators of the size of the national wealth.In conclusion, we can mention about the methodical approaches, the building of model algorithms application of statistical methods in solving scientific and practical problems, depending on the identification belonging of the valued objects. …”
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Machine learning analysis of cardiovascular risk factors and their associations with hearing loss by Ali Nabavi, Farimah Safari, Ali Faramarzi, Mohammad Kashkooli, Meskerem Aleka Kebede, Tesfamariam Aklilu, Leo Anthony Celi

“…As hearing outcomes remain challenging to characterize associations, we evaluated a new approach to predict current hearing outcomes through machine learning models using cardiovascular risk factors. …”
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Development and Analysis of Patient-Based Complete Conducting Airways Models. by Rafel Bordas, Christophe Lefevre, Bart Veeckmans, Joe Pitt-Francis, Catalin Fetita, Christopher E Brightling, David Kay, Salman Siddiqui, Kelly S Burrowes

“…Other studies have incorporated an algorithmic approach to extrapolate CT segmented airways in order to obtain a complete conducting airway tree down to the level of the acinus. …”
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METHOD AND SYSTEM FOR ASSESSING OF SPORTSMAN’S PHYSIOLOGICAL RESERVES DURING PHYSICAL EXERCISES by Nguyen Mau Thach, Nguyen Trong Tuyen, Tran Trong Huu

“…It is important for PR assessing to assess parameters characterizing sportsman’s physiological reserves at the current moment and its dynamics. The circle diagram is proposed for taking into account of all mentioned parameters and its variation dynamics. …”
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Sustainable power solutions for next-generation medical devices by Ye Liang, Chi Zhang, Rubing Lin, Junqing Lin, Jishizhan Chen

“…This review uniquely evaluates energy harvesting techniques through the lens of 'functionally cooperating systems'—emphasizing how synergistic integration of smart materials, adaptive algorithms, and physiological interfaces can overcome fundamental trade-offs between biocompatibility, power density, and clinical viability.…”
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IoT Device Identification Techniques: A Comparative Analysis for Security Practitioners by Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole

“…This gives security professionals and researchers the necessary tools to compare studies, both current and future, to understand how to secure their networks and what they must consider when completing further research.…”
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End-to-end multiple object tracking in high-resolution optical sensors of drones with transformer models by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Yaxuan Pang

“…Conventional approaches rely heavily on manual feature engineering and intricate algorithms, which can further limit efficiency. To overcome these limitations, we propose a novel Transformer-based end-to-end multi-object tracking framework. …”
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Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration by Brenda F. Narice, Mariam Labib, Mengxiao Wang, Victoria Byrne, Joanna Shepherd, Z. Q. Lang, Dilly OC Anumba

“…Abstract Background Current predictive machine learning techniques for spontaneous preterm birth heavily rely on a history of previous preterm birth and/or costly techniques such as fetal fibronectin and ultrasound measurement of cervical length to the disadvantage of those considered at low risk and/or those who have no access to more expensive screening tools. …”
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Derotational osteotomy is a relevant procedure in the management of lateral patellar dislocation: An expert survey of the International Patellofemoral Study Group by Guido Wierer, Danko Milinkovic, Gerd Seitlinger, Michael Liebensteiner, William Post, Philipp W. Winkler

“…Abstract Purpose To evaluate current knowledge and discover potential controversies in treating torsional deformities of the lower limb in patients with lateral patellar dislocation (LPD) among patellofemoral experts. …”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…In this manuscript, an Underwater Object Detection and Classification Utilizing the Ensemble Deep Learning Approach and Hybrid Optimization Algorithms (UODC-EDLHOA) technique is developed. The UODC-EDLHOA technique mainly detects and classifies underwater objects using advanced DL and hyperparameter models. …”
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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…The multi-label classification task, as an important task in the field of machine learning and data mining, aims to label samples with multiple label categories. Most of the current methods only learn embedding representations for feature branches, do not take into account the semantic relevance between features and labels, and lack effective constraints on the feature embedding space, which leads to insufficient relevance of the learnt feature embeddings. …”
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A machine learning prediction model for Cardiac Amyloidosis using routine blood tests in patients with left ventricular hypertrophy by Yuling Pan, Qingkun Fan, Yu Liang, Yunfan Liu, Haihang You, Chunzi Liang

“…Abstract Current approaches for cardiac amyloidosis (CA) identification are time-consuming, labor-intensive, and present challenges in sensitivity and accuracy, leading to limited treatment efficacy and poor prognosis for patients. …”
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Development and laboratory validation of an LVDC back-to-back system with residential inverter, PV, and battery-based power generation by Zaid Ali, David Raisz

“…The incorporation of sophisticated control algorithms into the existing power management framework enhances responsiveness to fluctuations in load and solar energy, ensuring peak performance under varying conditions. …”
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Design and trial of precision spraying system for weeds in winter wheat field at tillering stage by Bo Li, Peijie Guo, Yu Chen, Jun Chen, Haiying Wang, Jing Zhang, Zhixing Zhang

“…The precision spraying algorithms and systems were integrated in a test bed and sprayer to carry out the tests. …”
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Sex differences in alcohol use patterns and related harms: A mixed-methods, cross-sectional study of men and women in northern Tanzania. by Madeline McNee, Niveditha Badrinarayanan, Eleanor Strand, Thiago Augusto Hernandes Rocha, Timothy Antipas Peter, Yvonne Sawe, Anna Tupetz, Diego Galdino França, Judith Boshe, Joao Ricardo Nickenig Vissoci, Monica H Swahn, Blandina Mmbaga, Catherine Staton

“…In northern Tanzania, alcohol use disorders (AUD) are under-diagnosed and under-treated, and current services are mostly limited to men in clinical settings despite significant alcohol-related harm in the community. …”
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A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

“…Future development trends and current research have been extensively explored, along with potential future advancement and gaps in knowledge. …”
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