Aerial–Terrestrial Image Feature Matching: An Evaluation of Recent Deep Learning Methods by Hui Wang, Jiangxue Yu, San Jiang, Dejin Zhang, Qingquan Li

“…The results demonstrate that graph-neural-network-based methods and detector-free methods exhibit significant advantages in feature matching of aerial–terrestrial datasets, which can generate effective and correct matches for aerial–terrestrial images with large-scale and viewpoint differences. …”
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DCT and Wiener filter based on approach for speech enhancement using a single microphone by OU Shi-feng, ZHAO Xiao-hui, GU Hai-jun

“…Considering the enhancement of speech corrupted by complicated additive noise,a novel algorithm was proposed based on discrete cosine transform（DCT） and Wiener filter using a single microphone.This algorithm did not rely on any speech signal model and could efficiently attain the optimal estimation of clean speech components using successive noisy speech components and minimum mean square error estimation in DCT domain.Furthermore,it could overcome the disad-vantage of independent assumptions in classic methods for speech components.Simulation results demonstrate that the pro-posed algorithm possesses good performance both in objective and subjective tests with different kinds of noise.…”
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Evaluation of Image Segmentation Methods for In Situ Quality Assessment in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas, Christopher McMurrough

“…This research evaluated five image segmentation methods (simple thresholding, adaptive thresholding, Sobel edge detector, Canny edge detector, and watershed transform) on the same platform for their effectiveness in isolating and identifying features in 3D-printed layers under different contrast conditions for in situ quality assessment. …”
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach by Utathya Aich, Arghyasree Saha, Marcin Woźniak, Muhammad Fazal Ijaz, Pawan Kumar Singh

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Bearing fault diagnosis based on improved DenseNet for chemical equipment by Wu Huiyong, Jiang Kuan, Wang Yanyu

“…Abstract This paper proposes an optimized DenseNet-Transformer model based on FFT-VMD processing for bearing fault diagnosis. …”
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An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure by Salim Lahmiri, Stelios Bekiros

“…This paper describes a fast and accurate detection system to distinguish between ARR and normal sinus (NS), and between CHF and NS. <b>Methods:</b> the proposed automatic detection system uses the higher amplitude coefficients (HAC) of the discrete cosine transform (DCT) of the electrocardiogram (ECG) as discriminant features to distinguish ARR and CHF signals from NS. …”
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Automated detection of quiet eye durations in archery using electrooculography and comparative deep learning models by Fatma Söğüt, Hüseyin Yanık, Evren Değirmenci, İnci Kesilmiş, Ülkü Çömelekoğlu

“…Although Transformer-based and UNet models performed competitively, they exhibited lower precision in distinguishing QE periods. …”
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An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

“…Our method transforms the interpretation of anomalous features into solving an optimization problem in a normal “reference” state. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…In this challenging context, innovative algorithms and model designs are crucial for addressing differences in CSI features between various actions and enhancing the model’s generalization ability and robustness.Method This study explores human actions’ physical and MIMO transmission characteristics, proposing a deep learning-based human action recognition method that employs a dual attention mechanism and a multi-channel, multi-scale fusion temporal convolution network to address the above challenges. …”
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The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks by Zhichun Yang, Fan Yang, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Yang Lei, Wei Hu

“…Then, a multi-objective planning model of the network structure is established, and the weighted coefficient transformation method is used to convert reliability benefits and investment costs into the total cost of power supply per unit load. …”
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A Comprehensive Analysis of Data Augmentation Methods for Speech Emotion Recognition by Umut Avci

“…The SpecAugment method was also used to transform the spectrograms into versions with masked time and frequency axes. …”
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Group method analysis of two-dimensional plate in heat flux by Mina B. Abd-el-Malek, Fayez H. Michael, Samy M. A. El-Mansi

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Deep learning-based classification of dementia using image representation of subcortical signals by Shivani Ranjan, Ayush Tripathi, Harshal Shende, Robin Badal, Amit Kumar, Pramod Yadav, Deepak Joshi, Lalan Kumar

“…The time series is converted to image representations using continuous wavelet transform (CWT) and fed as input to deep learning models. …”
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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
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Tooth position prediction method based on adaptive geometry optimization. by Tian Ma, Yijie Zeng, Wenda Pei, Chao Li, Yuancheng Li

“…A multi-layer feature optimization Transformer-based tooth position prediction method is proposed to address the problems of difficult access to high-precision medical data and the difficulty of capturing and representing hierarchical features and spatial relationships among teeth by current methods. …”
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THERMAL REACTION OF AN INFINITE PLATE WITH HEAT EXCHANGE ON ONE OF THE BOUNDARIES by I. A. Dzhemesyuk, F. V. Ponomarev

“…The problem is solved with the method of integral transformations. Analytical solution is obtained; graphs characterising the process for different media are constructed.…”
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Calculus accumulation-based method for extracting values of instrumentation image by Dianming Wang, Li Zhou, Xiangxin Chen, Mingxin Yi, Xiaoju Yin

“…The template filtering method eliminates cross-pointer interference. The polar coordinate transformation and calculus accumulation of the dial image are carried out to obtain the position of the target double-pointer and realize automatic reading, which is suitable for most instruments. …”
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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Experimental Study on Combustion and Vibration Characteristics of Low-Speed Marine Diesel Engine Fuelled with Biodiesel by Gang Wu, Yuan Yuhao, Jiang Guohe, Guo Hao, Zhang Zhe

“…Vibration changes in the high-frequency band (1.9-2.5 kHz) might stem from knocking or mechanical impacts, with vibration characteristics showing nonlinear patterns across different blend ratios. This study’s application of the CWT method to low-speed engine vibration analysis offers theoretical and experimental support for optimising biodiesel use in ship power systems and new ideas for combustion state monitoring and fault diagnosis based on vibration signals.…”
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