A big data framework for short-term power load forecasting using heterogenous data by Haibo ZHAO, Zhijun XIANG, Linsong XIAO

“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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APOPTOSIS IN CITY SYSTEMS: A BIOMIMETIC APPROACH TO CITY REGENERATION by Stephen Ajadi

“…Aided with streamlined programmatic principles, computational and algorithmic design, city systems are studied in an African context. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…Through an analysis of these methods, the research demonstrates how applying advanced deep learning algorithms and cross-attention processes has significantly improved prediction robustness and accuracy. …”
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VR and computer vision based facade complexity analysis for building design by Fabian Jarrin, Yasuko Koga, Diego Thomas

“…The study employs the Computational Image Complexity Analysis (CICA) system, integrating VR and CV algorithms, to assess reactions to various facade complexities. …”
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Cladistics with geometric morphometric data: The variability of the calvarium in the genus Homo by Margaux Simon-Maciejewski, Giorgio Manzi, Valéry Zeitoun, Aurélien Mounier

“…These two datasets were then analysed with both the heuristic and branch-and-bound algorithms implemented in the TNT software. These analyses produced a unique cladistic tree for each dataset. …”
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An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extractio... by Nhat-Duc Hoang

“…A data set consisting of 200 image samples has been collected to train and validate the predictive performance of two machine learning algorithms including the least squares support vector machine (LS-SVM) and the artificial neural network (ANN). …”
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Downlink and Uplink Cooperative Transmission for Primary Secrecy Based Cognitive Radio Sensor Networks by Dawei Wang, Pinyi Ren, Qinghe Du, Li Sun, Yichen Wang

“…Moreover, two suboptimal algorithms are proposed to deal with these optimization problems. …”
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The Line-Haul Feeder Vehicle Routing Problem: A Classification and Review by Majid Yousefikhoshbakht, Mohamadreza Chaharmahali, Zakir Hussain Ahmed

“…Due to the many applications of this problem in the real world, a general review of this problem is conducted, and the versions of this problem are described along with the algorithms for its solution in the paper.…”
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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

“…Remote sensing imagery, Geographic Information System (GIS) tools, and machine learning algorithms are leveraged to process and interpret satellite data for accurate land-cover classification. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Robotic Vision with the Conformal Camera: Modeling Perisaccadic Perception by Jacek Turski

“…Here, the related neuroscience background is presented, effectiveness of the conformal camera's non-Euclidean geometry in intermediate-level vision is discussed, and the algorithmic steps in modeling perisaccadic perception with PFT are proposed. …”
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Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization by Lakshman Pappula, Debalina Ghosh

“…A comparative study is carried out to quantify the performance of the two algorithms using two performance metrics.…”
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Knowledge Discovery from Vibration Measurements by Jun Deng, Jian Li, Daoyao Wang

“…The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). …”
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Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences by Hongfei Jia, Junzhe Li

“…The model is transformed using chance-constrained programming and solved using heuristic algorithms. We apply the model to the highway network in Anhui province, China, to verify its validity. …”
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Load balancing for high performance computing using quantum annealing by Omer Rathore, Alastair Basden, Nicholas Chancellor, Halim Kusumaatmaja

“…Here, we investigate the application of quantum annealing to load balance two paradigmatic algorithms in high-performance computing. Namely, adaptive mesh refinement and smoothed particle hydrodynamics are chosen as representative grid and off-grid target applications. …”
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Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval by Hong Huang, Risheng Deng

“…In order to improve the performance of tennis game technical analysis, based on machine learning algorithms, this paper combines image analysis to identify athletes’ movement characteristics and image feature recognition processing with image recognition technology, realizes real-time tracking of athletes’ dynamic characteristics, and records technical characteristics. …”
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A New Image Restoration Method for MUSER by Wei Wang, Yihua Yan

“…Complicated structures combining these various components maybe cause restoration failure when using conventional algorithms. Furthermore, the images at different frequencies band are pretty different. …”
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Shifting Up Cutoff Value of D-Dimer in the Evaluation of Pulmonary Embolism: A Viable Option? Possible Risks and Benefits by Bennidor Raviv, Shlomo H. Israelit

“…To evaluate the viability of the possibility to use a higher D-dimer value than the one used today in the clinical algorithms evaluating patients suspected to have pulmonary embolism. …”
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Dual feature-based and example-based explanation methods by Andrei Konstantinov, Boris Kozlov, Stanislav Kirpichenko, Lev Utkin, Vladimir Muliukha

“…A code of proposed algorithms is available. The proposed results are fundamental and can be used in various application areas. …”
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Automatic Recognition and Detection System Based on Machine Vision by Lu Wang, Lihong Cui

“…This paper combines machine vision with motion control theory and uses pulse coupled neural network (PCNN) edge detection and recognition algorithms to preliminarily design a set of machine vision automatic recognition and detection systems and carry out detection and recognition experiments on small parts such as relay covers. …”
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