Investigation of Spot Size Variations in Multiroom Proton Therapy Systems and Their Clinical Significance: An In silico Study by Umesh Bharat Gayake, Bhushankumar J. Patil, Kantaram Darekar, Sanjay D. Dhole, Lalit Chaudhary, Siddhartha Laskar

“…Background and Purpose: In multiroom proton therapy facilities, maintaining beam consistency is critical, particularly when treatment interruptions occur due to machine downtime. Among beam parameters, spot size frequently exceeds tolerance limits, potentially compromising treatment accuracy. …”
Get full text

Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

“…This research addresses these critical limitations by introducing a novel, highly reliable, and robust machine learning-based islanding detection scheme. …”
Get full text

Effect of heat generation on dynamics of cutting process by Vilor L. Zakovorotny, Irina A. Vinokurova

“…Their interrelation is shown through the change in parameters depending on temperature. The variation of chipping pressure on the tool face caused by irreversible energy transformations in the cutting area is taken into account. …”
Get full text

Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…Moreover, the MSGO model is employed to choose the optimal parameter for the DCBAM-EfficientNet module. At last, an ensemble of three models, namely long short-term memory (LSTM), bidirectional gated recurrent unit (BiGRU), and sparse autoencoder (SAE) models, are implemented for the classification and detection of the damages. …”
Get full text

Experimental and Numerical Investigation on the Bearing Behavior of Curved Continuous Twin I-Girder Composite Bridge with Precast Concrete Slab by Chuandong Shen, Yifan Song, Lei Yan, Yuan Li, Xiaowei Ma, Shuanhai He, Xiaodong Han

“…These above may indicate that the TGCB designed according to Chinese codes has good safety reserve and ductility. From parameter analysis results, it was concluded that the TGCB with full-support construction scheme has larger yield load and ultimate load compared with the one with erecting machine construction scheme. …”
Get full text

Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions by Fatima Ismail, Sajid Gul Khawaja, Asad Mansoor Khan, Umer Hameed Shah, Muhammad Usman Akram, Arslan Shaukat

“…This research presents a new approach in the form of a hierarchical machine learning system for automation of modulation classification and adaptive parameter selection that optimizes spectral efficiency for different communication channels. …”
Get full text

Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…Then, based on the gated recurrent unit (GRU) model, the article applied the particle swarm optimization (PSO) algorithm to optimize the parameters of the GRU network and used the support vector machine (SVM) model to optimize the classification function of the network output. …”
Get full text

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction by Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, Khattab Alheeti

“…Advanced machine learning (ML) and deep learning (DL) methods have recently been utilized in Drug Response Prediction (DRP), and these models use the details from genomic profiles, such as extensive drug screening data and cell line data, to predict the response of drugs. …”
Get full text

Association between the COVID-19 pandemic and cardiopulmonary function in acute coronary syndrome patients without SARS-CoV-2 infection by Xingbo Mu, Sicheng Ning, Quanyu Zhang, Yi Zhang, Shengyi Wang, Jian Zhang, Yanchun Liang, Yaling Han

“…Machine learning and multivariate logistic regression were used to select key variables related to cardiopulmonary function. …”
Get full text

Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…Depression is a rapidly increasing mental disorder that can interfere with a person’s ability and negatively affect functions in various aspects of life. Fortunately, machine learning and deep learning techniques have demonstrated excellent results in the early detection of depression using social media data. …”
Get full text

The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data by Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

“…As an intriguing case is the goodness of the machine and deep learning models generated by these LLMs in conducting automated scientific data analysis, where a data analyst may not have enough expertise in manually coding and optimizing complex deep learning models and codes and thus may opt to leverage LLMs to generate the required models. …”
Get full text

Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…Therefore, the CNN-BiLSTM-Transformer model can effectively predict the porosity of carbonate reservoirs and offers valuable insights for carbonate reservoir parameter prediction.…”
Get full text

Study on the Process of Soil Clod Removal and Potato Damage in the Front Harvesting Device of Potato Combine Harvester by Zewen Li, Wei Sun, Hucun Wang, Juanling Wang, Petru A. Simionescu

“…It outlines the structure and working principles of the machine, theoretically analyzes the key dimensions of the digging device and potato–soil separation components, and derives specific structural parameters. …”
Get full text

Recognition of State of Health Based on Discharge Curve of Battery by Signal Temporal Logic by Jing Ning, Bing Xiao, Wenhui Zhong

“…Compared with the existing machine learning algorithms, in terms of the mean runtime, the STL algorithm is superior to the CNN-BiLSTM-MHA model, RNN-LSTM-GRU model, and EC-MKRVM model. …”
Get full text

Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…While HLOA demonstrates simplicity, flexibility, and a minimal parameter set, it is hindered by slow convergence and a tendency to become trapped in local optima, leading to suboptimal FS performance. …”
Get full text

A consensus mathematical model of vaccine-induced antibody dynamics for multiple vaccine platforms and pathogens by Kristen M. Wilding, Carmen Molina-París, Jessica Z. Kubicek-Sutherland, Benjamin McMahon, Alan S. Perelson, Ruy M. Ribeiro

“…We then used concepts from machine learning, such as transfer learning, to apply the same model to a variety of systems, involving different pathogens, vaccine platforms, and booster dose use/timing, fixing most parameter values relating to the dynamics of the immune system.ResultsThe model includes B cell proliferation and differentiation, as well as the generation of plasma cells, which secrete large amounts of antibody, and memory B cells. …”
Get full text

Semantic Segmentation of Archaeological Features on Public Lands: Case Study of Historical Cotton Terraces within the Piedmont National Wildlife Refuge, Georgia, USA by Claudine Gravel-Miguel, Grant Snitker, Jayde N. Hirniak, Katherine Peck, Alex Fetterhoff

“…This study provides a robust methodology that requires basic proficiencies in Python coding but expands DL applications in federal CRM by advancing methods in lidar and machine learning for archaeological inventorying, monitoring, and preservation.…”
Get full text

MATHEMATICAL SIMULATION OF TECHNOLOGICAL EQUIPMENT FOR PROCESSING OF OPTICAL PARTS by I. P. Filonov, A. S. Kozeruk, Y. L. Malpica, M. I. Filonova, V. O. Kuznechik, R. O. Dias Gonsalez

“…The machine-tools permits flexibly and within long range to control shape-formation process through changing such adjustment parameters as tool and rough workpiece frequency rotation, amplitude value of tool oscillatory motion, their diameters and number of double strokes per minute. …”
Get full text

Study on the properties and mechanism of magnesium alloy and Ni-plating stainless-steel by ultrasonic-laser welding-brazing by Bing Wang, Zhan Cheng, Haijun Xu, Yu Wang, Lingjie Luo, Shengxi Wang, Weimin Long, Shizhong Wei

Get full text

A Two-Stage Facial Kinematic Control Strategy for Humanoid Robots Based on Keyframe Detection and Keypoint Cubic Spline Interpolation by Ye Yuan, Jiahao Li, Qi Yu, Jian Liu, Zongdao Li, Qingdu Li, Na Liu

Get full text