Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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Collective and individual adaptation of rice farmers to climatic variability in the Vietnamese Mekong Delta by Hieu Hong Hua, Minh Anh Nguyen, Thuy Thanh Thi Ngo

“…It systematically explores the patterns of climate variability and their profound impacts on rice production across diverse areas within the delta. …”
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Coping and positive mental health in Canada among youth and adults: findings from a population-based nationally representative survey by Mihojana Jhumi, Laura L. Ooi, Karen C. Roberts, Melanie Varin

“…MethodsWe analyzed data from the 2019 Canadian Community Health Survey on the self-rated ability of adults and youth (N = 60 643; 12+ years) to cope with unexpected or difficult problems and day-to-day demands along with three PMH outcomes: selfrated mental health (SRMH), happiness and life satisfaction. …”
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Evaluating the efficacy of Internet-Based Exercise programme Aimed at Treating knee Osteoarthritis (iBEAT-OA) in the community: a study protocol for a randomised controlled trial by Abhishek Abhishek, Sameer Akram Gohir, Paul Greenhaff, Ana M. Valdes

“…The participants will be assessed using a Numerical Rating Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the Arthritis Research UK Musculoskeletal Health Questionnaire, the Pittsburgh Sleep Quality Index, 30 s sit to stand test, timed up and go test, quantitative sensory testing, musculoskeletal ultrasound scan, muscle thickness assessment of the vastus lateralis, and quadriceps muscles force generation during an isokinetic maximum voluntary contraction (MVC). …”
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Subjective Performance Expectations From and Demographic and Categorical Differences in the Acceptance of Virtual Reality or AI Technologies in Rehabilitation Programs: Cross-Secti... by Guido Waldmann, Dominik Raab

“…A significant rank correlation was observed for 103 out of 105 pairwise comparisons of the therapeutic fields, with distinct patterns of effects sizes within the chosen categories. …”
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Autism spectrum disorder – the fight of the public against a disease it fails to understand by Minahel Ahmed, Eman Sikandar, Arysha Javid

“…Even though multiple rating scales and checklists have been established, it is preferable to use more performance-based methodologies for assessment and diagnosis [2]. …”
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Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease by Zihan Li, Xinxin Miao, Qiumei Zhang, Jun Shen, Yongfeng Jia, Shaoyun Ge, Peixian Ji, Jianwei Wang, Kezhong Zhang, Min Wang

“…Moreover, in RPD patients, the Unified Parkinson’s Disease Rating Scale Part III score showed a negative correlation with the left ALPS index and with AI. …”
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Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek, Krzysztof Tyburek

“…The overall effectiveness rating was 9/10; thus, AI-based IoT solutions are a feasible, cost-effective, and sustainable approach to office energy management.…”
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Identification of a Surface Marine Vessel Using LS-SVM by David Moreno-Salinas, Dictino Chaos, Jesús Manuel de la Cruz, Joaquín Aranda

“…The mathematical model of the ship is identified using Least Squares Support Vector Machines (LS-SVMs) for regression by analysing the rudder angle, surge and sway speed, and yaw rate. The coefficients of the Nomoto model are obtained with a linear kernel function. …”
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PERFORMANCE OF THE ACCURACY OF FORECASTING THE CONSUMER PRICE INDEX USING THE GARCH AND ANN METHODS by Dian Kurniasari, Zaenal Mukhlisin, Wamiliana Wamiliana, Warsono Warsono

“…The Consumer Price Index (CPI) is the most widely used indicator of the inflation rate. Then, the value of CPI in the future must be known to be the basis of the government's making appropriate and accurate policies. …”
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Cognitive load estimation in VR flight simulator by Archana Hebbar, Sanjana Vinod, Shah, A.K., Abhay Pashilkar, Pradipta Biswas

“…To estimate the pilot’s cognitive load, we used low-frequency pupil diameter variations, fixation rate, gaze distribution pattern, EEG signal-based task load index and EEG task engagement index. …”
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Measuring Location Dominance Based on Public Service Accessibility: Case Study of Shijiazhuang, China by Yuan Wang, Peipei Pan, Lijie Pu

“…Additionally, we discovered an extremely strong linear correlation between three key urban development elements (i.e., nighttime lighting data, land use intensity, and population retention rate) and location dominance. The discussion of these findings confirms the validity of our method and the reliability of our results. …”
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Research on the spatial structure of desert tourism flow based on ecological digital footprints: a case study of Ningxia by Baoling Dong, Xiaowei Guo, Qiang Luo

“…The results indicate that (1) the high rate of visitors in Ningxia is closely related to the grade value of the scenic spots and the popularity of cities, and the most popular scenic spots are concentrated in the Ningxia section of the Yellow River Basin. (2) Hot desert scenic spots with historical, cultural, and urban development characteristics have greater advantages and competitiveness; these spots can better connect with less popular tourism nodes and serve as breakthrough points for the rational allocation of tourism resources. (3) The tourism flow network among scenic spots in Ningxia is relatively loose, with an imbalance in the tourism network among these spots. (4) The spatial tourism flow presents a pattern of superposition and coincidence of multiple triangular structures. …”
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Research on Spatial Coupling Coordination of Population Shrinkage and Land Use Efficiency from the Human–Land Relationship Perspective: Case Study of Zhejiang Province, China by Zijia Li, Chenhao Wang, Jiwu Wang

“…A multivariate remote sensing spatial data platform was developed for the period 2010–2020, and the shrinkage rate calculation method was applied, while LUE was assessed using the Super-SBM model. …”
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The Al-Abiadh Valley Drainage Basin Environmental Aspects Extraction Using Quantitatively Morphometric Analyses of Shuttle Radar Topographic Mission Data by Jawad et al.

“…The flood hazard is absent at the basin mouth because the valley runoff takes a long time to reach the sink (Al-Razaza Lake), located in the middle part of Iraq, with a low flow peak due to the high permeability soil, the arid to semi-arid climate, and the low annual precipitation rate.          The region studied is an alluvial basin with similar geological structural solidity in most places. …”
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Mathematic Model of Business-Ecosystem by O. E. Kalenov

“…Apart from profitable price for all participants, in order to assess efficiency of participation in business-ecosystems it is proposed to investigate functions of cost minimization, market share maximization and the rate of customer satisfaction maximization. The system of these criteria allows us, on the one hand, to identify limits of the business-ecosystem and on the other hand, to model the behavior of its elements and on this basis to make adequate managerial decisions.…”
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Klinische Sportmedizin by Hazzaa Walaa Eldin A, 2, Mattes K

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PEMODELAN DINAMIKA FLUIDA PADA FUEL INJECTOR MOTOR BENSIN 4 LANGKAH by Khambali Khambali, Intan Fadhilah, Moh Hartono, Nike Nur Farida

“…This study aims to model fluid dynamics in the fuel injector of a four-stroke gasoline engine, with a focus on the relationship between fluid pressure and flow rate. The size of the fuel droplet is a key factor that affects combustion efficiency. …”
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Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…An accuracy rate of 96.75 % is achieved with the LBP-RandomForestClassifier and, classification performance is also presented for each algorithm by creating hybrid feature vectors.…”
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