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101
A Comparative Analysis of Time Series Forecasting Models and the Novel ELSTMD Approach for Renewable Energy Generation
Published 2025-01-01“…Moreover, the introduced model and 21 time series forecasting models are evaluated, including statistical, Artificial Intelligence (AI), and hybrid approaches. …”
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102
Efficiency of tray dryer moisture removal: Experimental and AI studies
Published 2025-12-01“…In this study, a set of experiments is conducted to analyze the impact of various operating factors, comprising the speed of the air fan, drying duration, power of the heater, and salinity concentration of the saltwater solution, on the moisture removal efficiency (MRE) of the tray dryer. MRE rises rapidly in the first 30 min of drying, then slows down. …”
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103
A Highly Efficient HMI Algorithm for Controlling a Multi-Degree-of-Freedom Prosthetic Hand Using Sonomyography
Published 2025-06-01“…We first evaluated the accuracy of our model in classifying nine different hand gestures to determine its reliability and precision. …”
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104
A novel time difference of arrival localization algorithm using a neural network ensemble model
Published 2018-11-01“…The simulation results show that the proposed algorithm is efficient in improving the generalization ability and localization precision of the neural network ensemble model.…”
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105
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107
Efficient separation and purification of yttrium from zirconium onto anion exchange sorbent Amberlite A27 from acidic solution
Published 2025-05-01“…The optimum sorption conditions were found to be initial concentrations of [Zr] = [Y] = 100 mg/L, sorbent amount of 0.1 g, and a contact time of 30 min. A time transient study was conducted using pseudo-first-order (PFO), pseudo-second-order (PSO) and fractal time transient models. …”
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108
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109
Accurate Modeling and Efficiency Optimization of High Frequency BCM Mode Boost Converter Based on GaN Devices
Published 2025-01-01“…However, high-frequency switching loss of GaN devices has become one important factor restricting improvement of converter efficiency. Aiming at improving efficiency of synchronous rectification boost topology, this paper first discusses advantages of boost converter operating in boundary conduction mode (BCM). …”
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A low-carbon and economically efficient dispatch model for distribution networks based on carbon emission flow theory
Published 2024-12-01“…First， an economically efficient dispatch model for distribution networks is established using a second-order cone flow model. …”
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112
Estimation of the feasibility of using empirical models for prediction of the second metachronous tumor after chemotherapy of the first tumor to improve cancer surveillance
Published 2022-03-01“…To assess the possibility of using empirical models for predicting a second metachronous tumor after chemotherapy of the first one to improve the efficiency of prophylactic medical examination of cancer patients.Material and Мethods. …”
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113
Linearized MILP Model With Improved Soft Actor-Critic Algorithm for Dynamic and Efficient Active Distribution Network Planning
Published 2025-01-01“…Compared to the traditional AC-based nonlinear model, the MILP model achieves a maximum relative error of only 3.3%, with computation time reduced from over 460 seconds to less than 0.2 seconds. …”
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114
A Lightweight Two-Step Detection Method for Real-Time Small UAV Detection
Published 2025-01-01“…To address the frequent misclassification of small UAVs in one-stage object detectors, this study proposes a two-step detection method, as illustrated in the graphical abstract, which summarizes the proposed approach. First, YOLO object detection model identifies candidate small UAVs. …”
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115
Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm
Published 2024-01-01“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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117
Automatic prediction for IP backbone network traffic
Published 2020-08-01“…Efficient and reliable network traffic prediction is the basis of network planning and capacity expansion construction.Currently,there is no integral theoretical model to describe internet traffic.Most of the industry designs simplified and operable prediction models.Firstly,according to the characteristics of China Telecom’s IP backbone network traffic and its planning requirements,the IP backbone network traffic was analyzed and forecasted by using the multi-factor regression model and the function adaptive mode of time series.The characteristics,advantages,disadvantages and applicable scenarios of these two models were compared based on simulation of a large number of actual network data.A set of principles and methods for selecting prediction model and optimizing parameters were proposed.Then,an automatic forecasting system with the high performance of dealing with hundreds of time series was built to greatly simplify and improve the traffic prediction efficiency.Finally,the development orientation of network capacity extension and key points of future IP traffic prediction were prospected.…”
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118
Automatic prediction for IP backbone network traffic
Published 2020-08-01“…Efficient and reliable network traffic prediction is the basis of network planning and capacity expansion construction.Currently,there is no integral theoretical model to describe internet traffic.Most of the industry designs simplified and operable prediction models.Firstly,according to the characteristics of China Telecom’s IP backbone network traffic and its planning requirements,the IP backbone network traffic was analyzed and forecasted by using the multi-factor regression model and the function adaptive mode of time series.The characteristics,advantages,disadvantages and applicable scenarios of these two models were compared based on simulation of a large number of actual network data.A set of principles and methods for selecting prediction model and optimizing parameters were proposed.Then,an automatic forecasting system with the high performance of dealing with hundreds of time series was built to greatly simplify and improve the traffic prediction efficiency.Finally,the development orientation of network capacity extension and key points of future IP traffic prediction were prospected.…”
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119
Large language models for PHM: a review of optimization techniques and applications
Published 2025-08-01“…This review provides a timely resource for researchers, engineers, and decision-makers navigating the transformative potential of language models in industry 4.0 environments.…”
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120
Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique
Published 2025-01-01“…This paper introduces a new hybrid time series forecasting technique to obtain an efficient and accurate daily crude oil prices forecast. …”
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