Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The method allows for real-time, online prediction with low computational complexity.…”
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Experimental and Theoretical Studies of Wet Snow Accumulation on Inclined Cylindrical Surfaces by Behrouz Mohammadian, Mehdi Sarayloo, Ahmed Abdelaal, Asif Raiyan, Douglas K. Nims, Hossein Sojoudi

“…A 2-D numerical model has been developed utilizing weather data to predict the thickness and the shape of the accumulated wet snow on inclined cylindrical surfaces. …”
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Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis by Ke Bi, Yuxi Chen, Yuhang Hu, Song Li, Weiming Li, Zhange Yu, Lei Yu

“…The results showed that diagnostic model had favorable diagnostic prediction ability. Next, key gene regulatory networks were constructed and single-gene GSEA analysis was performed. …”
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Enhancing Localization Accuracy and Reducing Processing Time in Indoor Positioning Systems: A Comparative Analysis of AI Models by Salwa Sahnoun, Rihab Souissi, Sirine Chiboub, Aziza Chabchoub, Mohamed Khalil Baazaoui, Ahmed Fakhfakh, Faouzi Derbel

“…We evaluate these models in terms of localization accuracy and prediction time. The RNN model shows the best performance, achieving a localization error of 0.247 m with a delay of 0.077 s per position location for an area of 12 m × 9.5 m using four anchors. …”
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Development and accelerated shelf-life assessment of coconut squash: A comprehensive evaluation of physicochemical, antioxidant, and sensory attributes by Sara Shahbaz, Iahtisham-Ul-Haq, Nirmeen Nadeem, Mahnoor Siddiqui, Robert Mugabi, Aanchal Sharma, Tawfiq Alsulami, Gulzar Ahmad Nayik

“…Sensory evaluation identified T5 as the optimal formulation due to its superior quality attributes and a predicted shelf life of 121 days. These findings highlight T5's potential for commercial applications as a high-quality, functional beverage.…”
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Noise-resilient designs and analysis for optical neural networks by Gianluca Kosmella, Ripalta Stabile, Jaron Sanders

“…In this scenario, the gap in accuracy of prediction between the noiseless NN and the ONNs reduces even more: 93.3% for the tree-like design and 80% for the accordion-like design.…”
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Improving Deep Learning Forecasting Model Based on LSTM for Türkiye’s Hydro-Electricity Generation by Mehmet Bulut

“…The results obtained from this study have shown that deep learning models developed based on many years of production data give successful results in hydroelectric production prediction and can be used as a basis for electricity production planning.…”
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Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling by Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano

“…The availability of such a long simulation allows us to define several long time windows, used to calibrate the statistical relationships and evaluate the performance of statistical downscaling versus dynamical downscaling over a shared blind prediction period, taking advantage of a set of spatial and temporal metrics. …”
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Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players by Shuang Liang, Yang Li

“…Aiming at the occlusion of basketball, the least square method was used to fit the basketball trajectory, and the basketball position was predicted at the occlusion moment, which realized the occlusion trajectory matching. …”
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The effect of neuropathic pain on quality of life, depression levels, and sleep quality in patients with combat-related extremity injuries by Merve Örücü Atar, Gizem Kılınç Kamacı, Fatma Özcan, Yasin Demir, Koray Aydemir

“…Logistic regression analysis showed that VAS scores of 5 and above for average pain during the previous 4 weeks contributed independently to the prediction of NP. Conclusions Patients with combat-related extremity injuries with NP had more pain and poorer sleep quality than those without NP. …”
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Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study by A. N. Diaz-Lacava, M. Walier, D. Holler, M. Steffens, C. Gieger, C. Furlanello, C. Lamina, H. E. Wichmann, T. Becker

“…Spatial analysis included surface interpolation and geostatistics of observed and predicted patterns. Prediction accuracy was quantified. …”
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Municipal solid wastes quantification and model forecasting by Y. Teshome, N. Habtu, M. Molla, M. Ulsido

“…This study aims to assess the amount, composition, and prediction models of solid waste generation in the study area.METHODS: Solid waste data were collected from both residential and non-residential areas using stratified and systematic sampling approaches. …”
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Thermospheric Neutral Density Data Assimilation System Based on the Whole Atmosphere Model During the November 2003 Storm by Ching‐Chung Cheng, Timothy Fuller‐Rowell, Eric K. Sutton, Tzu‐Wei Fang, Jann‐Yenq Liu, Daniel R. Weimer

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New Dimensional Staging of Bisphosphonate-Related Osteonecrosis of the Jaw Allowing a Guided Surgical Treatment Protocol: Long-Term Follow-Up of 266 Lesions in Neoplastic and Oste... by Simonetta Franco, Simona Miccoli, Luisa Limongelli, Angela Tempesta, Giorgio Favia, Eugenio Maiorano, Gianfranco Favia

“…The new dimensional staging suggests the choice of the surgical approach, and allows the prediction of postoperative complications and soft and hard tissues healing time, guiding the surgical treatment protocol. …”
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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…In the end, both temporal and spatial features are integrated into the classification module, enabling precise prediction across three categories of EEG signals. The proposed XCF-LSTMSATNet was extensively tested on both a custom dataset and the public datasets SRDA and SRDB. …”
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The Airflow Reversal Law in Ventilation System after Coal and Gas Outburst in Tunneling Roadway by Junhong Si, Yiqiao Wang, Genyin Cheng, Lin Li, Yitian Shao, Tan Li, Wei Hu

“…This paper also finds out a cubic polynomial relationship existing between the reversal degree and the outburst pressure. It provides the prediction of coal and gas outburst and serves as a guidance in case mine ventilation disturbances occur.…”
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Combined Input Deep Learning Pipeline for Embryo Selection for In Vitro Fertilization Using Light Microscopic Images and Additional Features by Krittapat Onthuam, Norrawee Charnpinyo, Kornrapee Suthicharoenpanich, Supphaset Engphaiboon, Punnarai Siricharoen, Ronnapee Chaichaowarat, Chanakarn Suebthawinkul

“…For viability prediction, convolution-based transferred learning models were employed, multiple pretrained models were compared, and image preprocessing techniques and hyperparameter optimization via Optuna were utilized. …”
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A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning by Amit Purohit, Pushpinder Singh Patheja

“…A novel Convolutional BiLSTM with Enhanced Attention (CoBLEA) architecture is introduced for multilingual sentiment prediction to extract comprehensive context representations. …”
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Towards designing improved cancer immunotherapy targets with a peptide-MHC-I presentation model, HLApollo by William John Thrift, Nicolas W. Lounsbury, Quade Broadwell, Amy Heidersbach, Emily Freund, Yassan Abdolazimi, Qui T. Phung, Jieming Chen, Aude-Hélène Capietto, Ann-Jay Tong, Christopher M. Rose, Craig Blanchette, Jennie R. Lill, Benjamin Haley, Lélia Delamarre, Richard Bourgon, Kai Liu, Suchit Jhunjhunwala

“…Antigen presentation on MHC class I (MHC-I) is crucial for the adaptive immune response to cancer cells, necessitating highly predictive computational methods to model this phenomenon. …”
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Visual Simulation and Case Inversion of Gas Explosion in Underground Mine by Qiu Jinwei, Jiang Bingyou, Tang Mingyun, Zhou Liang, Ren Bo, Yang Yingdi

“…The research achievements in the paper not only embody the great engineering value of visual simulation technology in the field of safety engineering but also provide references for accident impact prediction, assessment, and emergency plan.…”
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