Analisis Visual dan Machine Learning untuk Mengukur Validitas Dokumen Akademik Perpustakaan: Studi pada Data Turnitin by Hesti Ari Wardani, Imam Yuadi

“…Using a data visualization approach and machine learning algorithms, this research explores the relationship between Turnitin scores and document validity status. …”
Get full text

AI and Eye Tracking Reveal Design Elements’ Impact on E-Magazine Reader Engagement by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

Get full text

Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging by Donghyeok Kim, Seongjoon Moon, Jongseo Lee, Kyoungman Cho, Changhan Lee, Jonghee Yoon

Get full text

Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

Get full text

The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis by Nataliia Trushkina

“…The results of the analysis can be used in further research to substantiate and develop an algorithm of actions for rapid response to crisis phenomena and adaptation of the functioning of critical infrastructure facilities to new global challenges.…”
Get full text

Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…Additionally, the customized ABC algorithm specifically optimizes hyperparameters to increase the adaptability and performance of the model under varying market conditions. …”
Get full text

CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…Underwater acoustic target classification has become a key area of research for marine vessel classification, where machine learning (ML) models are leveraged to identify targets automatically. …”
Get full text

Regional trending topics mining from real time Twitter data for sentiment, context, network and temporal analysis by Mousumi Hasan, Mujiba Shaima, Quazi Saad ul Mosaher

“…Unlike other social media platforms, Twitter offers researchers an open data source for multifaceted studies, motivating us to delve into regional trending topics, analyzing associated sentiments, context, networks, and temporal patterns. …”
Get full text

Insect Detection Using mm-Waves: Integrated Communication and Biodiversity Sensing Based on Micro-Doppler Effects by Linta Antony, Nicola Marchetti, Ian Donohue, Adam Narbudowicz

Get full text

LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks by Shaymaa E. Sorour, Mohammed Aljaafari, Amany M. Shaker, Ahmed E. Amin

“…The framework dynamically optimizes hyperparameters using the Joint Strategy Optimization (JSO) algorithm, ensuring efficient model adaptation across heterogeneous IoT networks. …”
Get full text

STATISTICAL METHODS USAGE TO IMPROVE DIE WAFERS RADIATION MONITORING EFFICIENCY IN MASS PRODUCTION PROCESS by Iuliia M. Moskovskaia, Dmitry V. Boychenko, Alexander Yu. Nikiforov

Get full text

Machine learning-driven multi-targeted drug discovery in colon cancer using biomarker signatures by Tingting Liu, Lifan Zhong, Xizhe Sun, Zhijiang He, Witiao Lv, Liyun Deng, Yanfei Chen

“…The CatBoost algorithm efficiently classifies patients based on molecular profiles and predicts drug responses. …”
Get full text

Monitoring and forecasting of land use/land cover (LULC) in Al-Hassa Oasis, Saudi Arabia based on the integration of the Cellular Automata (CA) and the Cellular Automata-Markov Mod... by Ashraf Abdelkarim

Get full text

RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…To optimize feature integration, we incorporate an improved dung beetle optimization algorithm, which adaptively assigns fusion weights during inference. …”
Get full text

Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

Get full text

Methodology for Assessing the Impact of the Diffusion of blockchain Technologies on the Development of the National Economic system (illustrated by the example of the Russian Econo... by L. A. El’shin, V. V. Banderov, A. A. Abdukaeva

“…In this regard, today it is very relevant to a search for formalized approaches to assessing the impact of blockchain technologies on key parameters of macroeconomic generations. The subject of the research is the system of relations between economic entities of the national economy, associated with the perception of blockchain technologies that permeate economic processes. …”
Get full text

Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…The research will also identify patterns and risk factor for the spread of AIDS that can be used to develop more effective health interventions. …”
Get full text

Meteorological Drivers and Agricultural Drought Diagnosis Based on Surface Information and Precipitation from Satellite Observations in Nusa Tenggara Islands, Indonesia by Gede Dedy Krisnawan, Yi-Ling Chang, Fuan Tsai, Kuo-Hsin Tseng, Tang-Huang Lin

Get full text

A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…We take the spread trajectories of infectious diseases as our research subject, due to their characteristic spatiotemporal patterns, and employ a space–time cube as the visualization tool. …”
Get full text

Clinical Characterization of Patients with Syncope of Unclear Cause Using Unsupervised Machine-Learning Tools: A Pilot Study by María-José Muñoz-Martínez, Manuel Casal-Guisande, María Torres-Durán, Bernardo Sopeña, Alberto Fernández-Villar

Get full text