Interpreting Predictive Models through Causality: A Query-Driven Methodology by Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin

“…Machine learning algorithms have been widely adopted in recent years due to their efficiency and versatility across many fields. …”
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Multimodal Classification Technique for Fall Detection of Alzheimer’s Patients by Integration of a Novel Piezoelectric Crystal Accelerometer and Aluminum Gyroscope with Vision Data... by V. Mohan Gowda, Megha P. Arakeri, Vasireddy Raghu Ram Prasad

“…Fall detection is one of the tasks of an assistive system; many existing methods primarily focus on either vision or sensor data. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…This work found that the method outperforms other algorithms in general. Because HTIC has better ability to generalize and resist changes in input data, it is well-suited for real-world uses like NFT dataset used in this work.…”
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Classification and Detection of Rumors Related to COVID-19 Using Machine Learning-Based Smart Techniques by Yancheng Yang, Junqiao Zhai, Shah Nazir

“…The study demonstrates many methods for analyzing literature, enabling students to create fresh perspectives on the topic.…”
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Investigate the Use of Deep Learning in IoT Attack Detection by Mohamed Saddek Ghozlane, Adlen Kerboua, Smaine Mazouzi, Lakhdar Laimeche

“…The Internet of Things (IoT) has provided many benefits to society and introduced new security challenges. …”
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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

“…In performing such tasks, these frameworks face three challenges: computational inefficiency due to high I/O and communication costs, non-scalability to big data due to memory limit, and limited analytical algorithms because many serial algorithms cannot be implemented in the MapReduce programming model. …”
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Review of the Color Gradient Lattice Boltzmann Method for Simulating Multi-Phase Flow in Porous Media: Viscosity, Gradient Calculation, and Fluid Acceleration by Fizza Zahid, Jeffrey A. Cunningham

“…However, in the literature, many competing algorithms have been proposed for accomplishing different steps in the CGM. …”
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Imitating a Safe Human Driver Behaviour in Roundabouts Through Deep Learning by A. S. J. Cervera, F. J. Alonso, F. S. García, A. D. Alvarez

“…Roundabouts provide safe and fast circulation as well as many environmental advantages, but drivers adopting unsafe behaviours while circulating through them may cause safety issues, provoking accidents. …”
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Exploring ground states of Fermi-Hubbard model on honeycomb lattices with counterdiabaticity by Jialiang Tang, Ruoqian Xu, Yongcheng Ding, Xusheng Xu, Yue Ban, Man-Hong Yung, Axel Pérez-Obiol, Gloria Platero, Xi Chen

“…Motivated by this, we develop variational quantum algorithms incorporating the auxiliary counter-diabatic interactions, comparing them with digitized adiabatic algorithms. …”
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Quantifying the Economic Impact of Supply Voltage Magnitude on Consumers by Sean Elphick, Jonathan C. Knott, Gerrard Drury, Tom Langstaff, Duane A. Robinson

“…The paper then applies these algorithms to calculate quantitative economic impacts that can be associated with the magnitude of the supply voltage. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Anomaly detection has many applications, not only as a step of data preparation but also, for example, as a way of identifying credit card fraud detection, network intrusions and much more. …”
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The Protective Effect of Transcription Factor 7-Like 2 Risk Allele rs7903146 against Elevated Fasting Plasma Triglyceride in Type 2 Diabetes: A Meta-Analysis by Shuxia Wang, Kangxing Song, Roshni Srivastava, Mohsen Fathzadeh, Na Li, Arya Mani

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A Large-Scale Inter-Comparison and Evaluation of Spatial Feature Engineering Strategies for Forest Aboveground Biomass Estimation Using Landsat Satellite Imagery by John B. Kilbride, Robert E. Kennedy

“…Moreover, many prior investigations have been constrained by limited geographic domains and sample sizes. …”
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Spatio-temporal tensor-network approaches to out-of-equilibrium dynamics bridging open and closed systems by Sergio Cerezo-Roquebrún, Aleix Bou-Comas, Jan T. Schneider, Esperanza López, Luca Tagliacozzo, Stefano Carignano

“…The study of many-body quantum systems out of equilibrium remains a significant challenge, with complexity barriers arising in both state- and operator-based representations. …”
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Post-Transplant Diabetes: Prevalence, Risk, and Management Challenges by Alaaeldin M.K. Bashier, Dileep Kumar, Fakhriya J. Alalawi, Hind Al Nour, Amna Khalifa Al Hadari, Azza Abdulaziz Bin Hussain

“…The prevalence of diabetes and diabetic nephropathy is increasing, especially in middle eastern countries. Many patients reach end-stage renal disease and either start dialysis or consider preemptive transplantation. …”
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Monte Carlo modeling of multileaf collimators using the code Geant4 by Alex Cristóvão Holanda de Oliveira, José Wilson Vieira, Fernando Roberto Andrade Lima

“…The equipment most often used in radiotherapy to the patient irradiation is linear accelerator (Linac). Among the many algorithms developed for evaluation of dose distributions in radiotherapy planning, the algorithms based on Monte Carlo (MC) methods have proven to be very promising in terms of accuracy by providing more realistic results. …”
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Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…It is seen that deep learning-based algorithms, which can provide fast and high-accuracy results with many data, will be an integral part of this sector in the future as they are today. …”
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CRISPR-FOCUS: A web server for designing focused CRISPR screening experiments. by Qingyi Cao, Jian Ma, Chen-Hao Chen, Han Xu, Zhi Chen, Wei Li, X Shirley Liu

“…The recently developed CRISPR screen technology, based on the CRISPR/Cas9 genome editing system, enables genome-wide interrogation of gene functions in an efficient and cost-effective manner. Although many computational algorithms and web servers have been developed to design single-guide RNAs (sgRNAs) with high specificity and efficiency, algorithms specifically designed for conducting CRISPR screens are still lacking. …”
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A Cautionary Perspective on Artificial Intelligence and Novel Imaging Technologies in Patient Selection for Retrograde Intrarenal Surgery by Samir Muter, Noorulhuda Al-Ani

“…This commentary critically examines these clinical algorithms, highlighting the absence of prospective validation, the potential for overreliance, and the possible limitations of their clinical applicability. …”
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Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers by B. Shamreen Ahamed, Meenakshi S. Arya, S. K. B. Sangeetha, Nancy V. Auxilia Osvin

“…Various Machine-Learning (ML) algorithms are being used in order to predict and detect the disease to avoid further complications of health. …”
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