Next generation High-Mobility 2D chalcogenides TFT for display backplane by Prashant Bisht, Junoh Shim, Jooon Oh, Jieun Lee, Hoseong Shin, Hyeonho Jeong, Jimin Kim, Junho Lee, Hyuk-Jun Kwon, Sunkook Kim

“…The evolution of display backplane technologies has been driven by the relentless pursuit of higher form factor and superior performance coupled with lower power consumption. …”
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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…To address these challenges, this study develops a deep learning model based on an adaptive moment estimation optimized convolutional long short-term memory neural network (Adam-ConvLSTM) to predict the evolution of rock fractures. …”
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Optimizing decentralized implementation of state estimation in active distribution networks by Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian‐Dehkordi, Matti Lehtonen

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An Extensive Study Using the Beetle Swarm Method to Optimize Single and Multiple Objectives of Various Optimal Power Flow Problems by K. Sriram, S. P. Mangaiyarkarasi, S. Sakthivel, L. Jebaraj

“…The control variables, such as real generation of power, tap setting ratio of transformers, bus voltages magnitudes, and the values of shunt capacitor, are also optimized. …”
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Hybrid optimization method for optimal site selection and sizing of a hybrid photovoltaic water pumping/diesel/battery system by Akbar Maleki, Fatemehzahra Heydari, Ali Jabari Moghadam

“…The optimal number of components, including solar panels, batteries, converters, and diesel generators, are determined. …”
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Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis by Bayan Altalla’, Ashraf Ahmad, Layla Bitar, Mohammed Al-Bssol, Amal Al Omari, Iyad Sultan

“…Employing methods such as in-context learning (ICL) and retrieval-augmented generation (RAG), the study focused on generating impression sections from radiological findings. …”
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Knowledge Distillation and Transformer-Based Framework for Automatic Spine CT Report Generation by Humaira Batool, Asmat Mukhtar, Sajid Gul Khawaja, Norah Saleh Alghamdi, Asad Mansoor Khan, Adil Qayyum, Ruqqayia Adil, Zawar Khan, Muhammad Usman Akram, Muhammad Usman Akbar, Anders Eklund

“…Additionally, the proposed framework is evaluated using four different types of reports: original radiologist reports, reports without spine-level annotations, rephrased reports, and reports generated by ChatGPT-4o (ChatGPT). …”
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Generative AI vs. Traditional Databases: Insights from Industrial Engineering Applications by Jose E. Naranjo, Maria M. Llumiquinga, Washington D. Vaca, Cristian X. Espin

“…This study evaluates the efficiency and accuracy of Generative AI (GAI) tools, specifically ChatGPT and Gemini, in comparison with traditional academic databases for industrial engineering research. …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…<italic>γ</italic>_Sevaluates the distribution of columns across different building components and spaces—the lower the index, the more reasonable the arrangement. …”
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On the Stator Slot Geometry of a Cable Wound Generator for Hydrokinetic Energy Conversion by Mårten Grabbe, Sandra Eriksson, Mats Leijon

“…Practical experience from winding two cable wound generators is used to propose optimized dimensions of different parts in the stator slot geometry. …”
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Tailoring Scientific Knowledge: How Generative AI Personalizes Academic Reading Experiences by Anna Małgorzata Kamińska

“…The effectiveness of AI-generated content modifications in enhancing readability, comprehension, and relevance was evaluated. …”
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Benchmarking the optimization of optical machines with the planted solutions by Nikita Stroev, Natalia G. Berloff, Nir Davidson

“…Abstract This research focuses on developing effective benchmarks for quadratic unconstrained binary optimization instances, crucial for evaluating the performance of Ising hardware and solvers. …”
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Digital Watermarking using Dragonfly Optimization Algorithm by Satender Sharma, Usha Chauhan, Ruqaiya Khanam, Krishna Kant Singh

“…In this paper, DA is used for computing the scaling factor. The DA generated scaling factor is optimal and improves the performance of the watermarking. …”
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Optimization method for determining vertices in lattice radiotherapy by Pan Ma, Yingjie Xu, Yuhe Yao, Ningning Lu, Jianrong Dai

“…Volumetric modulated arc therapy plans were retrospectively regenerated using the initial vertices produced by closest packing (Plan_Clo) and vertices obtained after ASA optimization (Plan_Opt). The peak-to-valley index (PVI) that characterizes the difference between peak and valley doses was introduced to evaluate the performance.ResultsA statistically significant difference was observed in the average PVI between Plan_Clo and Plan_Opt (p = 0.000). …”
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An Adapted Ant Colony Optimization for Feature Selection by Duygu Yilmaz Eroglu, Umut Akcan

“…As information technologies evolve, they generate vast and ever-expanding datasets. This wealth of high-dimensional data presents challenges, including increased computational demands and difficulties in extracting valuable insights. …”
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STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

“…Secondly, to solve the problem of ignoring shallow features in traditional feature extraction, CNN was used to extract the features of one-dimensional fusion parameters in layers, and KPCA was used to reduce the feature extraction results of different layers to one dimension. Then, to solve the problem of parameter optimization of the traditional GRU algorithm, the neural network architecture search was used to improve the GRU algorithm, and the N-GRU model was obtained. …”
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Triplane generator-based NeRF-GAN framework for single-view ship reconstruction by Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu

“…Initially, a priori statistical analysis of the dataset is conducted to harness color distribution information for noise generation. Subsequently, a novel generator and mask module are engineered to produce optimized feature outputs. …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…Background: Machine learning methods are increasingly being used in mobile network optimization systems, especially next-generation mobile networks. …”
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DEVELOPMENT OF A NEW GENERATION OF TORNUM REX MINING GRAIN DRYERS AND THEIR DESIGN METHODS by V. Fitsyk

“…This approach to modeling using CFD can be applied to new technological processes, as well as to evaluate and optimize already established conventional systems.…”
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Analysis of different genotyping and selection strategies in laying hen breeding programs by Lisa Büttgen, Henner Simianer, Torsten Pook

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