Reconstruction of 12-lead ECG: a review of algorithms by Ekenedirichukwu N. Obianom, G. André Ng, G. André Ng, G. André Ng, G. André Ng, Xin Li, Xin Li, Xin Li

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Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

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PTML models of self assembled ligand free nanoparticle catalysts for cross coupling reactions by Andrea Ruiz-Escudero, Zuriñe Serna-Burgos, Sonia Arrasate, Humberto González-Díaz

“…The use of computational models enables rapid design, optimization, and understanding of the behavior of these molecules, thereby reducing the costs and time. …”
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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

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Application of Artificial Intelligence Technology for Prompt Diagnosis of Cast Iron Mechanical Properties by A. Yu. Kutsepau, A. P. Kren, A. V. Nikiforov, N. K. Tursunov

“…It has also been established that formation of additional features for training models (based on traditionally used characteristics: penetration depths, indenter movement speed and contact forces at certain points in time) has a positive effect on the accuracy of measurements, but amount of measurements should also be optimized. …”
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Elucidating linear programs by neural encodings by Florian Peter Busch, Florian Peter Busch, Matej Zečević, Kristian Kersting, Kristian Kersting, Kristian Kersting, Kristian Kersting, Devendra Singh Dhami

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Comparison of Ammonia Volatilization from Inorganic and Organic Fertilizers during Chinese Cabbage Cultivation by Eun-Chae Im, Seong-Jik Park

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GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model by Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv

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The spatiotemporal mechanism of surface compound ozone and heat (SCOH) potential risk across urban China by Yufeng Chi, Kai Wang, Yin Ren, Hong Ye

“…This study deepens the quantification of nonlinear interactions between urban infrastructure and SCOH propagation, the understanding of surface compound ozone and heat, and strengthens key elements and quantification approaches using optimized machine learning. This is of great significance to explain the spatiotemporal response of SCOH, and provides an important reference for the study of compound exposure.…”
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A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging by Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang

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Remaining Useful Life Prediction of Aero-Engine Based on Improved GWO and 1DCNN by Lihua Shen, Yucheng Wang, Baorui Du, Hailong Yang, He Fan

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The Fermentation Degree Prediction Model for Tieguanyin Oolong Tea Based on Visual and Sensing Technologies by Yuyan Huang, Jian Zhao, Chengxu Zheng, Chuanhui Li, Tao Wang, Liangde Xiao, Yongkuai Chen

“…Finally, the Sparrow Search Algorithm (SSA) was applied to optimize the data fusion models. After optimization, the models exhibited a MAE ranging from 1.703 to 2.078, a RMSE from 2.258 to 3.230, and R² values between 0.988 and 0.994 on the test set. …”
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Dynamic Expected Threat (DxT) Model: Addressing the Deficit of Realism in Football Action Evaluation by Karim Hassani, Mohammed Ramdani, Marwane Lotfi

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Treatment Recommendation using BERT Personalization by J Jayapradha, Yukta Kulkarni, Lakshmi Vadhanie G, Palanichamy Naveen, Elham Abdulwahab Anaam

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High throughput assessment of blueberry fruit internal bruising using deep learning models by Chenjiao Tan, Changying Li, Penelope Perkins-Veazie, Heeduk Oh, Rui Xu, Massimo Iorizzo

“…Overall, this study presents an effective and efficient approach with a user-friendly interface to evaluate blueberry internal bruising using deep learning models, which could facilitate the breeding of blueberry genotypes optimized for machine harvesting. …”
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Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction by Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Hwee San Lim, Rosni Abdullah, Yusri Yusup, Syahidah Akmal Muhammad, Teh Sin Yin

“…The application of time-series analysis in agricultural yield forecasting has gained much attention in recent years with the use of machine learning models. However, the utilization of Python-based time-series models for predicting oil palm yield remains limited. …”
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Leveraging moisture elimination and hybrid deep learning models for soil organic carbon mapping with multi-modal remote sensing data by Yilin Bao, Xiangtian Meng, Weimin Ruan, Huanjun Liu, Mingchang Wang, Abdul Mounem Mouazen

“…The MCCL model was compared to other machine learning and deep learning models, including LSTM, Random Forest (RF), CNN, Artificial Neural Network (ANN), Support Vector Machine (SVM) and partial least squares regression (PLSR). …”
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Comparative Study on Hyperparameter Tuning for Predicting Concrete Compressive Strength by Jeonghyun Kim, Donwoo Lee

“…This study assesses the impact of hyperparameter optimization algorithms on the performance of machine learning-based concrete compressive strength prediction models. …”
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Short-Term Urban Water Demand Forecasting Using an Improved NeuralProphet Model by Yao Yao, Haixing Liu, Fengrui Gao, Hongcai Guo, Jiaxuan Zou

“…The use of machine learning models for short-term network flow prediction has become increasingly widespread in recent years. …”
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Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation by Sreejith Chandrasekharan, Jisu Elsa Jacob

“…The study also strives to highlight challenges in the deployment of LLM models, ethical considerations, and bottlenecks in optimizing models due to requirements of specialized methods such as Low-Rank Adapation. …”
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