Sensitivity analysis of activity scheduling parameters with a parameter optimization framework by Matheus Moro Zamprogno, Domokos Esztergár-Kiss

“…Throughout the years, in the field of transportation several attempts were made to optimize travelers’ activity chains with different parameters to set, but there is a lack of comprehensive solutions. In this research, the activity chain optimization algorithm is applied, which requires high computational efforts. …”
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Research progress in predicting the conversion from mild cognitive impairment to Alzheimer’s disease via multimodal MRI and artificial intelligence by Min Ai, Yu Liu, Dan Liu, Chengxi Yan, Xia Wang, Xun Chen

“…Therefore, this paper systematically reviews the research progress of multimodal MRI techniques in capturing brain changes related to MCI conversion, as well as the practical experience of AI algorithms in constructing efficient prediction models, analyses the current technical challenges faced by the research, and discusses future directions, with the goal of providing a scientific reference for the early and accurate prediction of MCI conversion and the formulation of intervention strategies.…”
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Research on low earth orbit constellation beam hopping resource scheduling based on multi-agent deep reinforcement learning by ZHANG Chen, XU Yangwei, LI Wanjing, WANG Wei, ZHANG Gengxin

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ASSESSMENT AND ANALYSIS OF DIGITAL TRANSFORMATION OF REGIONAL ECONOMIC SYSTEMS OF THE RUSSIAN FEDERATION: METHODOLOGICAL APPROACHES AND THEIR APPROBATION by M. R. Safiullin, A. A. Abdukaeva, L. A. Elshin

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Clustering and Interpretability of Residential Electricity Demand Profiles by Sarra Kallel, Manar Amayri, Nizar Bouguila

“…Efficient energy management relies on uncovering meaningful consumption patterns from large-scale electricity load demand profiles. …”
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Formation of Scattering Characteristics for Acoustical Ray Tracing Simulation by Srđan BOJIČIĆ, Dragana ŠUMARAC-PAVLOVIĆ, Miomir MIJIĆ

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Review of Automatic Estimation of Emotions in Speech by Douglas O’Shaughnessy

“…Many methods of emotion recognition have been found in research on pattern recognition in other areas, e.g., image and text recognition, especially in recent methods for machine learning. …”
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Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data by Indrastanti Ratna Widiasari, Rissal Efendi

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The novel Vogel's approximation method integrated with a random forest algorithm in the vibration analysis of a two-directional functionally graded taper porous beam: Assessment by Ravikiran Chintalapudi, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…This approach adopts a rectangular cross-section in order to deal with the challenges related to fluctuating material characteristics and geometric tapering in both thickness and width dimensions. The research employs a novel approach that merges Vogel's approximation technique with the Random Forest algorithm, an approach that has not been used in analyzing structural vibrations, establish boundary conditions and solve equations of motion. …”
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Operation Evaluation of Phased Antenna Arrays in Case of Phase Shifter Malfunction by M. R. Bibarsov, A. F. Kryachko, A. V. Pshenichnikov

“…Therefore, operation evaluation of WSPAAs in the event of PS failure with any outcome is an urgent research task. The paper reviews algorithms for modeling the impact of PS failures on WSPAAs and evaluates the operation of such antenna systems under these impacts.Aim. …”
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Etiology and management of urethral calculi: A systematic review of contemporary series by Andrew Morton, Arsalan Tariq, Nigel Dunglison, Rachel Esler, Matthew J. Roberts

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MECHATRONIC SYSTEM OF GRAIN COMBINE ADAPTIVE DRIVING CONTROL by Dmitry Yakovlevich Parshin, Denis Gennadyevich Shevchuk

“…The basic external actions on the grain combine mechatronic control system, and their effect on the motion pattern and the production process are considered. …”
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Analysis of Customer Power Consumption Behavior Based on DPSO-Kmeans under the Ubiquitous Power Internet of Things by WANG Ying, XIANG Wen, ZHANG Qun, GAO Xiuyun

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Impact of a Novel Electronic Medical Record–Integrated Electronic Form (Provider Asthma Assessment Form) and Severe Asthma Algorithm in Primary Care: Single-Center, Pre- and Postob... by Matheson L McFarlane, Alison Morra, Delanya Podgers, David Barber, M Diane Lougheed

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Patterns of care for people presenting to Australian general practice with musculoskeletal complaints based on routinely collected data: protocol for an observational cohort study... by Alexandra Gorelik, Romi Haas, Ljoudmila Busija

“…Previous studies using routinely collected health data for research have not consistently reported the codes and algorithms used to describe the population, exposures, interventions and outcomes in sufficient detail to allow replication. …”
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Research on the correlation between retinal vascular parameters and axial length in children using an AI-based fundus image analysis system. by Chaoyang Zhao, Huilin Li, Ziyou Yuan, Zihan Yang, Tiantian Wang, Yan Wang, Qian Tong, Shaofeng Hao

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Identification of PRKCQ-AS1 as a Keratinocyte-Derived Exosomal lncRNA That Promotes Th17 Differentiation and IL-17 secretion in Psoriasis Through Bioinformatics, Machine L... by Gao P, Gao X, Lin L, Zhang M, Luo D, Chen C, Li Y, He Y, Liu X, Shi C, Yang R

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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris, Patrizia Busato, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis

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A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions by Funmilayo Ebun Rotimi, Roohollah Kalatehjari, Taofeeq Durojaye Moshood, George Dokyi

“…As land and infrastructure development rapidly evolve, it is crucial to systematically analyze the bibliometric patterns and methodological trends in flood mitigation research, with a specific focus on residential building flood mitigation. …”
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The classification of EMG signals using machine learning for the construction of a silent speech interface. by Chandrashekhar, V.

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