Learning a Quantum Computer's Capability by Daniel Hothem, Kevin Young, Tommie Catanach, Timothy Proctor

“…Accurately predicting a quantum computer's capability—which circuits it can run and how well it can run them—is a foundational goal of quantum characterization and benchmarking. …”
Get full text

Using Machine Learning for Aerostructure Surface Damage Digital Reconstruction by Yijia Wu, Hon Ping Tang, Anthony Mannion, Robert Voyle, Ying Xin

“…However it remains elusive to predict the location of future damage on the aerostructure surface. …”
Get full text

Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning by Dongfang Mao, Haojie Lin, Xuyang Lou

“…Specifically, we achieved 95% floor prediction accuracy and reduced the average positioning error to just 7.82 m. …”
Get full text

Study some two loop contribution to muon anomalous MDM in the N-B-LSSM by Xing-Yu Han, Shu-Min Zhao, Long Ruan, Xi Wang, Xing-Xing Dong

“…From the data obtained in all the figures of the numerical results, most of the values of $$a_{\mu }^{NBL}$$ a μ NBL are in 2 $$\sigma $$ σ interval, which can compensate the departure between the experiment data and the SM prediction.…”
Get full text

A novel ambiguity resolution model of BeiDou navigation satellite system/inertial navigation system tightly coupled for kinematic-to-kinematic precise relative positioning by Ling Wu, Yongrong Sun, Xiyu Fu, Qinghua Zeng

“…Especially, in the complex dynamic environment, ambiguity resolution effect is influenced by the satellite signal blocked, multipath outlier, and abnormal state prediction. Aiming at the problems, a novel inertial navigation system–aided robust adaptive filtering ambiguity resolution model is proposed. …”
Get full text

Investigation of a New Handover Approach in LTE and WiMAX by Mohammad Nour Hindia, Ahmed Wasif Reza, Kamarul Ariffin Noordin

“…Firstly, the enhanced global positioning system (GPS) and the novel received signal strength (RSS) prediction approaches are suggested to predict the target base station accurately. …”
Get full text

Off-Design Considerations through the Properties of Some Pressure-Ratio Line of Radial Inflow Turbines by N. Binder, X. Carbonneau, P. Chassaing

“…Nevertheless, a simple performance prediction analysis is proposed for blocked mass flow operation.…”
Get full text

A Novel Model for Forecasting Production Performance in Waterflood Oil Reservoirs by Yajun Gao, Yang Liu, Xiaoqing Xie, Lihui Tang, Yuqian Diao, Yuhua Ma

“…Previous models have shown deficiencies in accurately predicting production performance, necessitating the development of a new semianalytical model to enhance its application scope and prediction accuracy. …”
Get full text

Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Compared with the classic caching strategy Hash + LRU, Betw + LRU, and classic prediction algorithms SVM and BPNN, the proposed PCDS2AW proactive caching strategy can significantly improve WSN performance.…”
Get full text

Electric Signals on and under the Ground Surface Induced by Seismic Waves by Akihiro Takeuchi, Kan Okubo, Nobunao Takeuchi

Get full text

IDMA-Based MAC Protocol for Satellite Networks with Consideration on Channel Quality by Gongliang Liu, Xinrui Fang, Wenjing Kang

“…Firstly, the power allocation algorithm combining the technique of IDMA SINR-evolution and channel quality prediction is developed to guarantee high power efficiency even in terrible channel conditions. …”
Get full text

Experimental Design and Validation of an Accelerated Random Vibration Fatigue Testing Methodology by Yu Jiang, Gun Jin Yun, Li Zhao, Junyong Tao

“…According to the measured stress responses, the structural fatigue lives corresponding to the different vibrational excitations were predicted by using the WAFO simulation technique. Second, a couple of destructive vibration fatigue tests were carried out to validate the accuracy of the WAFO fatigue life prediction method. …”
Get full text

EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

“…Deep-learning techniques offer precise and autonomous EF predictions, yet these methods often lack explainability. …”
Get full text

Modeling land use changes using Markov chain model and LCM model by mohammad ebrahim afifi

“…The purpose of this research is to review, model, and predict landslide changes in the 30-year period by LCM model in Shiraz. …”
Get full text

The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics by Arwa M. Amin, Lim Sheau Chin, Dzul Azri Mohamed Noor, Muhamad Ali SK Abdul Kader, Yuen Kah Hay, Baharudin Ibrahim

“…However, these methods lack precise prediction of clopidogrel outcome, often leading to insufficient prediction. …”
Get full text

Enhanced framework for ensemble effort estimation by using recursive‐based classification by Azath Hussain, Maheswari Raja, Pandimurugan Vellaisamy, Sangeetha Krishnan, Lakshminarayanan Rajendran

“…It is hard to predict the cost, effort, size and schedule consistently through SEE and hence it causes damage to software enterprises. …”
Get full text

Accurate estimation of Jujube leaf chlorophyll content using optimized spectral indices and machine learning methods integrating geospatial information by Nigela Tuerxun, Sulei Naibi, Jianghua Zheng, Renjun Wang, Lei Wang, Binbin Lu, Danlin Yu

“…Hyperspectral data enable precise LCC monitoring by extracting spectral indices through optimal band combination (OBC) and predicting LCC with machine learning. However, OBC faces dimensionality issues, and machine learning models often overlook geographical influences, potentially reducing prediction accuracy. …”
Get full text

Risk Factors for Fracture in Patients with Coexisting Chronic Kidney Disease and Type 2 Diabetes: An Observational Analysis from the CREDENCE Trial by Tamara K. Young, Nigel D. Toussaint, Gian Luca Di Tanna, Clare Arnott, Carinna Hockham, Amy Kang, Aletta E. Schutte, Vlado Perkovic, Kenneth W. Mahaffey, Rajiv Agarwal, George L. Bakris, David M. Charytan, Hiddo J. L. Heerspink, Adeera Levin, Carol Pollock, David C. Wheeler, Hong Zhang, Meg J. Jardine

“…We examined individual fracture predictors and prediction sets based on different pathophysiological hypotheses, testing whether any of the sets improved prediction beyond that based on traditional osteoporotic risk factors. …”
Get full text

Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…Remote-sensing time-series data enable more accurate monitoring and prediction of soil salinity levels, offering a refined approach to soil salinization assessment. …”
Get full text

miRNA-221: A Potential Biomarker of Progressive Liver Injury in Chronic Liver Disease (CLD) due to Hepatitis B Virus (HBV) and Nonalcoholic Fatty Liver Disease (NAFLD) by Parthana Rani Sutradhar, Nahida Sultana, Afzalun Nessa

“…Conclusion: miRNA-221 may be used as a potential plasma biomarker for early prediction of fibrosis progression in CLD patients.…”
Get full text