CONSUMER AGE INFLUENCE ON FOOD LABEL READING HABIT by Muhammad, Zeeshan, ZAFAR

“…One variable was dependent like influence on purchase behavior. The data was collected through questionnaire and 350 questions were distributed among customers. …”
Get full text

Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

“…Sentiment analysis, a crucial subfield of natural language processing, enables businesses and policymakers to understand public emotions and opinions, essential for crafting effective strategies across industries like marketing and customer service. …”
Get full text

Multimodal Latent Representation Learning for Video Moment Retrieval by Jinkwon Hwang, Mingyu Jeon, Junyeong Kim

“…The rise of artificial intelligence (AI) has revolutionized the processing and analysis of video sensor data, driving advancements in areas such as surveillance, autonomous driving, and personalized content recommendations. …”
Get full text

Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape by A. Kostrzewa, A. Płatek-Żak, P. Banat, Ł. Wilk

“…The effectiveness of UAV (Unmanned Aerial Vehicle) platforms depends on factors such as data acquisition, software selection, and processing parameters, all of which influence the resulting products like orthomosaics and digital elevation models (DEMs). …”
Get full text

Semi-Empirical Approach to Evaluating Model Fit for Sea Clutter Returns: Focusing on Future Measurements in the Adriatic Sea by Bojan Vondra

“…A method for evaluating Kullback–Leibler (KL) divergence and Squared Hellinger (SH) distance between empirical data and a model distribution is proposed. This method exclusively utilises the empirical Cumulative Distribution Function (CDF) of the data and the CDF of the model, avoiding data processing such as histogram binning. …”
Get full text

TraV: a genome context sensitive transcriptome browser. by Sascha Dietrich, Sandra Wiegand, Heiko Liesegang

“…While read mapping tools have been continually improved to enable the processing of the increasing number of reads generated by NGS technologies, analysis and visualization tools are struggling with the amount of data they are presented with. …”
Get full text

English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm by Fei Wu

“…The performance of the proposed EVLS-DtwinWGAN-NLP approach attains 3.101%, 7.12%, 7.73% higher accuracy, 24.13%, 13.04%, 29.51% lower computation Time and 2.292%, 5.365%, 1.551% higher AUC compared with existing methods like Feature extraction and analysis of natural language processing for deep learning English language (EVLS-BiLSTM-NLP), State of art for semantic analysis of natural language processing (EVLS-SA-NLP) respectively.…”
Get full text

Computer-Aided Application in Medicine and Biomedicine by Qi-Ming Liao, Wahab Hussain, Zhong-Xia Liao, Sarfraz Hussain, Zhi-Liang Jiang, Yong-Hao Zhu, Huang-Yin Luo, Xin-Ying Ji, Hong-Wei Wen, Dong-Dong Wu

“…It explores diverse computer applications in medicine, including simulations, modeling, data visualization, and advanced data processing. …”
Get full text

Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…E-learning is a rapidly growing and advanced form of education, where students enroll in online courses. Platforms like Intelligent Tutoring Systems (ITS), learning management systems (LMS), and massive open online courses (MOOC) use educational data mining (EDM) to develop automatic grading systems, recommenders, and adaptative systems. …”
Get full text

Frame Segmentation in Ultrahigh-Speed Spectrum Analyzer Based on Time-Lens by Renchu Tang, Liao Chen, Yufan Du, Danhua Cao

“…With the development of high-frequency carriers and high-capacity communications, ultrahigh-speed spectrum analyzer based on all-optical methods has been demonstrated in many fields. Limited by current data processing algorithms, ultrahigh-speed spectrum analyzers based on time-lens, such as frequency-domain light intensity spectrum analyzer (<italic>f</italic>-LISA) and parametric spectro-temporal analyzer (PASTA), are not yet to automatically process acquired data, which hinders their practicality. …”
Get full text

A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning by Prashanth Choppara, S. Sudheer Mangalampalli

“…In Internet of Things there has been a significant raising the amount of data produced by different devices. This has created a need for more effective methods of processing and managing this data. …”
Get full text

Real-time and Cost-efficient Indoor Localization and Mapping Solution for Emergency Response Applications by H. Elsayed, A. Shaker

“…This research addresses the challenges posed by the absence of GNSS signals and the need for high-performance data processing by developing a cost-effective multi-sensor system for real-time indoor mapping. …”
Get full text

Characterization and Automated Classification of Underwater Acoustic Environments in the Western Black Sea Using Machine Learning Techniques by Maria Emanuela Mihailov

“…While machine learning offers promising solutions, a research gap persists in comprehensively evaluating diverse ML models within an integrated framework for complex underwater acoustic data, particularly concerning real-world data limitations like class imbalance. …”
Get full text

Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

“…To handle multi-channel integration, we utilize a nonlearnable dendritic neuron model to simulate the lateral geniculate nucleus (LGN), which consolidates outputs across color channels, an essential function in biological multi-channel processing. Cross-validation experiments show that AVS demonstrates strong generalization across varied object–background configurations, achieving accuracy where traditional models like EfN-B0, ResNet50, and ConvNeXt typically fall short. …”
Get full text

Software in Metrology for the Digital Age: Addressing Compliance Challenges with MID, NAWID, and MDR by Koval Martin, Tesař Jiří, Staněk Martin, Foltýnek Jaroslav

“…While metrology has been crucial, software now plays an equally significant role, enabling data processing, automation, and new functionalities. …”
Get full text

Generative AI for Named Entity Recognition in Low-Resource Language Nepali by Sameer Neupane, Jeevan Chapagain, Nobal B. Niraula, Diwa Koirala

“… Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), has significantly advanced Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), which involves identifying entities like person, location, and organization names in text. …”
Get full text

Comprehensive Review on the Exploitation of Advanced Memory Optimization Strategies to Improve Performance for Convolutional and Spiking Neural Networks in Medical Imaging Using Ha... by N. Srikanth Prasad, S. Sundar

“…In addition, in-memory computing will be a key focus to mitigate the inefficiency of data movement, adaptability of Field-Programmable Gate Array (FPGA) for custom workloads, parallel processing by Graphics Processing Unit (GPU), and domain-specific optimizations of Application-Specific Integrated Circuit (ASIC). …”
Get full text

Deep Multimodal-Interactive Document Summarization Network and Its Cross-Modal Text–Image Retrieval Application for Future Smart City Information Management Systems by Wenhui Yu, Gengshen Wu, Jungong Han

“…Urban documents like city planning reports and environmental data often feature complex charts and texts that require effective summarization tools, particularly in smart city management systems. …”
Get full text

SGIR-Tree: Integrating R-Tree Spatial Indexing as Subgraphs in Graph Database Management Systems by Juyoung Kim, Seoyoung Hong, Seungchan Jeong, Seula Park, Kiyun Yu

“…Efficient spatial query processing in Graph Database Management Systems (GDBMSs) has become increasingly important owing to the prevalence of spatial graph data. …”
Get full text

A Comparative Study of Ground-Based and Drone-Based GPR: Opportunities, Challenges, and Applications in Bromo, Indonesia by Jannah Afni Nur, Paramita Eksi Galih Kenya, Zukhrufah Syabibah Zakiyya, Rochman Juan Pandu Gya Nur, Azhali Firmansyah Maulana

“…Data processing included filters like static correction, bandpass, gain, background removal, FK-filter, and time-to-depth conversion, with additional steps like time cut and trace editing for drone-based GPR. …”
Get full text