A novel time difference of arrival localization algorithm using a neural network ensemble model by Zhenkai Zhang, Feng Jiang, Boyuan Li, Bing Zhang

“…The simulation results show that the proposed algorithm is efficient in improving the generalization ability and localization precision of the neural network ensemble model.…”
Get full text

Efficiency of tray dryer moisture removal: Experimental and AI studies by A. Al-Haddad, T. Kikhavani, Seyyed Hosseini

“…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. …”
Get full text

A Highly Efficient HMI Algorithm for Controlling a Multi-Degree-of-Freedom Prosthetic Hand Using Sonomyography by Vaheh Nazari, Yong-Ping Zheng

“…We first evaluated the accuracy of our model in classifying nine different hand gestures to determine its reliability and precision. …”
Get full text

Time-Variation Damping Dynamic Modeling and Updating for Cantilever Beams with Double Clearance Based on Experimental Identification by Yunhe Zhang, Fanjun Meng, Xueguang Li, Wei Song, Dashun Zhang, Faping Zhang

“…First, a dynamic model framework for manipulator arms is established based on the Hamilton principle and hypothetical mode method with time-variation damping. …”
Get full text

A Comparative Analysis of Time Series Forecasting Models and the Novel ELSTMD Approach for Renewable Energy Generation by Yousef Alkhanafseh, Tahir Cetin Akinci, Alfredo A. Martinez-Morales

“…Moreover, the introduced model and 21 time series forecasting models are evaluated, including statistical, Artificial Intelligence (AI), and hybrid approaches. …”
Get full text

TARNet: An Efficient and Lightweight Trajectory-Based Air-Writing Recognition Model Using a CNN and LSTM Network by Md. Shahinur Alam, Ki-Chul Kwon, Shariar Md Imtiaz, Md Biddut Hossain, Bong-Gyun Kang, Nam Kim

Get full text

Enhancing hepatopathy clinical trial efficiency: a secure, large language model-powered pre-screening pipeline by Xiongbin Gui, Hanlin Lv, Xiao Wang, Longting Lv, Yi Xiao, Lei Wang

Get full text

Efficient separation and purification of yttrium from zirconium onto anion exchange sorbent Amberlite A27 from acidic solution by O. A. Abdel Moamen, E. M. Abu Elgoud, B. A. Masry, H. M. Gayed, Y. A. El-Nadi, E. H. Borai

“…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. …”
Get full text

Logical characterization of complexity class of problems solvable by probablistic algorithms in polynomial time by V. G. Naidenko

Get full text

Timing Planning Knowledge Representation for Micro Assembly Based on Ontology by Jiahui Qian, Yigang Wang, Zhijing Zhang

“…As knowledge modeling is essential to intelligent decision-making, this paper proposes a micro assembly timing planning knowledge representation method. …”
Get full text

Accurate Modeling and Efficiency Optimization of High Frequency BCM Mode Boost Converter Based on GaN Devices by Yifeng Wang, Zhongjie Wang, Bo Chen, Hao Wang

“…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). …”
Get full text

Numerical model development analysis for the efficiency of convectively heated radiative ferromagnetic nanoparticles configured by oxytactic moment of microorganisms by Muhammad Tabrez, Waqar Azeem Khan, Iftikhar Hussain, Mehboob Ali, Yazan Oroud, Taseer Muhammad

Get full text

MODELING OF CORPORATE STRUCTURES OF INDUSTRIAL ENTERPRISES by D. S. Таgaverdieva

“…This article was first based on the use of complex mathematical models of dynamic programming analyzed the problem of optimizing the distribution of internal investment.As a result of research by the author for the first time demonstrated the model to analyze the competitiveness and sustainability of the corporate group, This methodology is based on the ranking of participants in groups according to the degree of their investment attractiveness and priority.Identified and the possibility of achieving the group's performance based on an iterative and incremental processes of the investment component of the members of the corporate structure, as noted performance criteria.The author observed that as the criterion of economic efficiency can serve as a total guaranteed amount of income received by members of the corporate group within a certain period. …”
Get full text

Linearized MILP Model With Improved Soft Actor-Critic Algorithm for Dynamic and Efficient Active Distribution Network Planning by Jinlin Liao, Guilian Wu, Jia Lin

“…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. …”
Get full text

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 by E. L. Shunko, A. V. Vazhenin, N. A. Shanazarov

“…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. …”
Get full text

Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…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. …”
Get full text

A Lightweight Two-Step Detection Method for Real-Time Small UAV Detection by Sungkyu Jung, Jaeyeon Jang, Chang Ouk Kim

“…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. …”
Get full text

Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique by Hasnain Iftikhar, Moiz Qureshi, Paulo Canas Rodrigues, Muhammad Usman Iftikhar, Javier Linkolk Lopez-Gonzales, Hasnain Iftikhar

“…This paper introduces a new hybrid time series forecasting technique to obtain an efficient and accurate daily crude oil prices forecast. …”
Get full text

Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…To ensure the safe and efficient extraction of coal mines and reduce sudden roof accidents, this study proposes a novel multivariate long-term sequence mine pressure prediction model—the Empirical Mode Decomposition Linear Model (EMD–Mixer). …”
Get full text

Automatic prediction for IP backbone network traffic by Xuan WEI, Ke RUAN, Xiaoying HUANG, Xun CHEN, Cancan HUANG

“…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.…”
Get full text