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 Conductivity Performance of Silica Aerogel after Exposition on Different Heating under Ambient Pressure by Israa F. Al-sharuee

“…The varied thermal conductivity (insulation) of silica aerogel with heating for different pH has been investigated, it has been depended on ambient pressure drying method in the preparing silica aerogel samples, also six different pH of samples (1, 2, 3, 7, 8 and 9) were treated under five degree of heating with (50,100,150,200 and 250) ᴼC. …”
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Detection of pharmaceuticals and their transformation products in seawaters using off-line solid phase extraction and liquid chromatography-high resolution mass spectrometry by Aggeliki Kalogeropoulou, Christina Kosma, Triantafyllos Albanis

“…Methods: The present study describes the development of a highly selective and sensitive analytical method using solid phase extraction (SPE) followed by UHPLC-LTQ/Orbitrap MS for the determination of 18 frequently prescribed pharmaceuticals and 3 transformation products (TPs) in seawater. …”
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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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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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A multimodal differential privacy framework based on fusion representation learning by Chaoxin Cai, Yingpeng Sang, Hui Tian

“…The former is based on Binary Encoding, and the latter is based on multi-dimensional Fourier Transform. To the best of our knowledge, we are the first to propose LDP-based methods for the representation learning of multimodal fusion. …”
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Structural Characterization of Lignin and Its Degradation Products with Spectroscopic Methods by Yao Lu, Yong-Chao Lu, Hong-Qin Hu, Feng-Jin Xie, Xian-Yong Wei, Xing Fan

“…Various spectroscopic methods, such as ultraviolet spectroscopy, Fourier-transformed infrared spectroscopy, Raman spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy, for the characterization of structural and compositional features of lignin were summarized. …”
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Comparison of regression methods for modeling intensive care length of stay. by Ilona W M Verburg, Nicolette F de Keizer, Evert de Jonge, Niels Peek

“…However, little consensus exists on which prognostic method should be used to adjust ICU LoS for case-mix factors. …”
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Impact of Solubility Enhancement Methods on the Dissolution Rate of Valsartan Sachet by Anjam H. Abdalla, Anoosh B. Hagop, Dina A. Boya

“…The objective of this study is to prepare Valsartan as an oral sachet which can be used as an alternative dosage form after improvement of drug solubility using solubilizing agents such as sodium lauryl sulfate and tween 80. Three different formulas of Valsartan sachet were prepared by conventional technique of wet granulation method named conventional formula (Fc), sodium lauryl sulfate formula (Fs), and tween 80 formula (Ft) then compared with the available marketed product of Valsartan tablet (Fd) as a reference. …”
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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

“…Traditional detection methods, which rely on expert evaluations, are inherently subjective, time-consuming, and inconsistent. …”
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3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The core components of the proposed method include the cross window self‐attention based transformer (CWST) and multi‐scale local enhanced (MLE) modules. …”
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Data Leveling of Multi-Map Geochemical Exploration Data Using Compositional Data Analysis: A Case Study from the Baiyinchagan–Maodeng Area, Inner Mongolia, China by Rui Tang, Cheng Li, Keyan Xiao, Guodong Tang

“…As a result, “systematic errors” inevitably arise, which are directly reflected in the “shift” effect between different map sheets. This study compares various leveling methods, including contrast return (CR), boundary leveling (BL), and multi-scale correction (MSC), based on compositional data transformation of six map sheets from the Baiyinchagan–Maodeng area. …”
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A Crystallization-Induced Asymmetric Transformation using Racemic Phenyl Alanine Methyl Ester Derivatives as Versatile Precursors to Prepare Amino Acids by Samira Rahmani-Nezhad, Shima Dianat, Abbas Hadjiakhoondi

“…For some substrates such as amino acids, resolution by the formation of diastereomers offers an attractive alternative. Among different methods in this case, crystallization-induced asymmetric transformation (CIAT) that is in situ racemization and selective crystallization of a reaction product can be a good choice. …”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…Untuk mengatasi masalah tersebut, klasifikasi intensi dan NER dapat digabungkan dengan menggunakan mekanisme multi-task learning dalam bentuk model Dual Intent and Entity Transformer (DIET). Penelitian dilakukan dengan memanfaatkan data sekunder dari Helpdesk TIK UB, merancang model DIET menggunakan pustaka PyTorch dan Transformers, lalu mengevaluasi model DIET menggunakan f1-score. …”
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Improved Quantization Method of Coupled Circuits in Charge Discrete Space by Jin-Ying Ma, Weiran Zhao, Weilin Wang, Zhan-Yuan Yan

“…However, it is not applied widely, mainly because of the difficulty of the mathematical solution to the finite-difference Schrödinger equation. In this paper, we propose an improved perturbation method to calculate Schrödinger equations of the inductance and capacity coupling mesoscopic circuit. …”
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Survey of channel estimation method in delay-Doppler domain for OTFS by Wang XING, Xiaogang TANG, Yiqing ZHOU, Chong ZHANG, Zhengang PAN

“…In order to provide reliable communication service for high-mobility scenarios, 6G can consider DD (delay-Doppler) domain based OTFS (orthogonal time frequency space) as its modulation scheme.By mapping the transmitted symbols onto DD domain and transforming them into TF (time-frequency) domain, OTFS endows all the transmitted symbols with the potential of capturing time-frequency full diversity, effectively improving the performance of communication in time-varying fading channels.Due to the superior properties of DD effective channel, the existing OTFS channel estimation methods were mostly carried out in DD domain.Considering the difference of implementation and application scenarios, existing DD channel estimation methods for OTFS were divided into three categories and overviewed, after which the challenges and potential solutions for current DD channel estimation methods were summarized and analyzed.…”
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Multispectral image fusion method based on edge chromatic aberration by Y. Shi, D. Qiu, R. Wu, R. Wu, W. Niu, Z. Wang

“…This method effectively solves the problems of multi-scale feature extraction and texture distortion of cracks through adaptive color difference correction and spectral consistency constraints, providing high-precision data support for intelligent road maintenance.…”
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