Analysis of the influence internal and external factors on the performance of IDXV30 by Tumpal Samosir, Pardomuan Sihombing

“…The analysis phase is through the Stationarity Test, Optimal Lag Test, VAR Stability Test, Granger Causality Test, Cointegration Test, Impulse Response Function (IRF), and Forecast Error Variance Decomposition (FEVD). …”
Get full text

Calculation and analysis of breakthrough pressure of caprock in CO2 storage by CUI Chuanzhi,LI Jinghong,WU Zhongwei,ZHANG Tuan,ZHANG Chuanbao

Get full text

Simulation Analysis and Optimization Research on Cooling and Dehumidifying Effects of Evaporator by Liu Shuailing, Ma Guoyuan, Xu Shuxue, Li Fuping, Sun Han

Get full text

Mathematical modeling and analysis of export trends for certain pharmaceutical groups by А. R. Shaikhislamova, N. А. Gasratova

“…An alternative approach to regression analysis was developed. Technical data analysis was performed using MAPLE (Watcom Products Inc., Canada) and R (Bell Laboratories, USA) software.Results. …”
Get full text

Predicting IVF live -birth probability using time-lapse data: Implications of including or excluding age in a day 2 embryo transfer model. by Shabana Sayed, Bjørn Molt Petersen, Marte Myhre Reigstad, Arne Schwennicke, Jon Wegner Hausken, Ritsa Storeng

“…The primary objective of this study was to develop predictive models for the likelihood of live births following In Vitro Fertilisation (IVF) treatment, based on a retrospective analysis of time-lapse data from Day 2 embryo transfers at Klinikk Hausken, Norway. …”
Get full text

ANALYSIS OF CLIMATE-RELATED RISK AND MAIZE PRODUCTION IN SOUTHWEST, NIGERIA by Lawrence Olusola OPARINDE, Emmanuel Chilekwu OKOGBUE

“…The results of the analysis on the climate-related risk indicated that temperature increased the production risk of maize farmers. …”
Get full text

An Ensemble Learning Approach for Drought Analysis and Forecasting in Central Bangladesh by Md. Alomgir Hossain, Momotaz Begum, Md. Nasim Akhtar, Md. Alamin Talukder, Nomanur Rahman, Mahfuzur Rahman

Get full text

EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…The preprocessing architecture utilizes silence-based audio segmentation alongside end-to-end DeepSpeech2 audio-to-text conversion to generate a synchronized and semantically consistent data stream. For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
Get full text

Analysis of past and future temperature variability and change in Southern Ethiopia by Alefu Chinasho, Bobe Bedadi, Tesfaye Lemma, Tamado Tana, Bisrat Elias, Tilahun Hordofa

Get full text

Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption by Retno Wahyusari, Sunardi Sunardi, Abdul Fadlil

“…To enhance prediction accuracy, the researchers included a data pre-processing step using min-max normalization. …”
Get full text

Application of Upper Bound Analysis and Taguchi Method In Aluminium Extrusion by Kamardeen Adebayo Ogunbajo, Ben Iyenagbe Ugheoke, Ibrahim Dauda Muhammad, Emmanuel Onche

“… This research explores the use of upper bound analysis in calculating the extrusion force through u-shaped dies with varying fillet radii, billet lengths, friction coefficients and billet temperatures. …”
Get full text

Developing an Innovative Seq2Seq Model to Predict the Remaining Useful Life of Low-Charged Battery Performance Using High-Speed Degradation Data by Yong Seok Bae, Sungwon Lee, Janghyuk Moon

“…Our Seq2Seq model overcomes these limitations, predicting charging profiles and discharge capacity for untrained, low-rate conditions using only high-rate charging data. The Seq2Seq model demonstrated superior performance with low error and high curve-fitting accuracy for 1C and 1.2C untrained data. …”
Get full text

Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method by Bolin Liu, Liyang Xie

“…However, the traditional method increases the risk of adopting an inappropriate model and does not take full advantage of the data devoted to constructing different surrogates. …”
Get full text

Energy Consumption Modeling and Flight Time Analysis of Micro Drones by Nusin Akram, Mina Khoshrangbaf, Moharram Challenger, Orhan Dagdeviren

Get full text

A Tool for Energy Consumption Monitoring and Analysis of the Android Terminal by Deguang Li, Zhanyou Cui, Chenguang Bai, Qiurui He, Xiaoting Yan

Get full text

Inductive Water Content Sensor Response Characteristics Simulation Analysis by LIU Dongmei, DENG Yuheng, JIANG Zhicheng, LIU Xingbin

“…The simplified model is validated through principle analysis and simulation data comparison. The experimental results show that the measurement error of conductivity is within 1.6%, which verified the feasibility of this method for measuring water content. …”
Get full text

Analysis and Verification Results of Manual Inspection of Pavement Condition Index by Szu-Han Lu, Jyh-Dong Lin, Yi-Shian Chiou

“…This study observes the accuracy and precision of the data obtained by different inspectors. The analysis is based on repeated manual inspections conducted by four inspectors across 12 road units on Zhongda Road, using the ASTM D6433-23 (2023) standard. …”
Get full text

Development of Semiparametric Smoothing Spline Path Analysis on Cashless Society by Muhammad Rafi Hasan Nurdin, Muhammad Ohid Ullah, Adji Achmad Rinaldo Fernandes, Eni Sumarminingsih, Solimun Solimun

“…Path analysis requires assumptions to be met, particularly the linearity assumption, which can be tested using the Ramsey Regression Specification Error Test (RESET). …”
Get full text

An ELECTRA-Based Model for Power Safety Named Entity Recognition by Peng Liu, Zhenfu Sun, Biao Zhou

Get full text

Research on rock burst prediction based on an integrated model by Junming Zhang, Qiyuan Xia, Hai Wu, Sailei Wei, Zhen Hu, Bing Du, Yuejing Yang, Huaixing Xiong

“…Unlike traditional approaches that rely on time-axis-based analysis, this study uses the working face advancement distance as the basis for prediction, which better reveals the potential spatial correlations of rockburst occurrences, aligning with engineering practice needs.Validation using microseismic monitoring data from a coal mine demonstrates that the proposed model achieves a prediction accuracy of 93.62% and an F1-score of 93.54%. …”
Get full text