Recent papers on Machine Learning in Various Applications

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

  1. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

    2026 · Chemical Papers · Attabi, Kassem Al, Alimova, Farzona, Yadav, Anupam et al.

    2026
  2. Role of nanomaterials in dye removal with applications of various machine learning and statistical optimization tools for enhancing adsorption

    2026 · Sustainable Chemistry One World · Loura, Nisha, Rathee, Kavita, Singh, Manvender et al.

    2026
  3. Exploring the application of various condenser microphones for wrist pulse measurement using machine learning models

    2026 · Physical and Engineering Sciences in Medicine · Sharma, Chetna, Neha, Singh, Gurinderjit et al.

    2026
  4. Machine learning prediction of effective radiation doses in various computed tomography applications: a virtual human phantom study

    2025 · Biomedizinische Technik/Biomedical Engineering · Tanyildizi-Kökkülünk, Handan

    2025
  5. State-of-the-art review on applications of various machine learning models in biodiesel production

    2025 · Chemometrics and Intelligent Laboratory Systems · Liu, A. Q., Xuan, Wenjing, Xiao, Yongjun

    2025
  6. A Complete Road Map for Interpretable Machine Learning Techniques Harnessing Various Real‐Time Applications

    2025 · Pandian, A. Anbarasa, Ramalingam, V., Subramanian, J. Venkata et al.

    2025
  7. Analysis of a Deep Learning and Machine Learning-Powered Health Care Application for Predicting Various Diseases

    2025 · Lecture notes in networks and systems · Saritha, U., Mishra, Suman, Patil, Mantesh et al.

    2025
  8. THEME: APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN VARIOUS FIELDS

    2025 · INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS · KRUPAVARAM, A.L.K.

    2025
  9. State-of-the-art review on various applications of machine learning techniques in materials science and engineering

    2024 · Chemical Engineering Science · Yu, Bing, Zhang, LiQin, Ye, Xiaoxia et al.

    2024
  10. Application of Machine Learning and Rule Induction in Various Sectors

    2024 · Almansour, Bashar Yaser, Almansour, Ammar Yaser, Janjua, Jamshaid Iqbal et al.

    2024
  11. Detection of Application Layer DDOS-Attacks Produced by Various Freely Accessible Toolkits Using Machine Learning

    2024 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · Tejaswi, M, RAJU, Mr. VELPULA

    2024
  12. Machine learning-based predicting of PCM-integrated building thermal performance: An application under various weather conditions in Morocco

    2024 · Journal of Building Engineering · Jraida, Kaoutar, Mghouchi, Youness El, Mourid, Amina et al.

    2024
  13. Application and Optimization of Various Machine Learning Models in Social E-Commerce Marketing Strategies

    2024 · Transactions on Computer Science and Intelligent Systems Research · Li, Zhen

    2024
  14. Theoretical Evaluation of Machine Learning and Deep Learning Applications in Various Domain

    2024 · International Journal of Scientific Research in Computer Science Engineering and Information Technology · Degadwala, Sheshang, Vyas, Dhairya

    2024
  15. The integration of Natural Language Processing (NLP) in Human-Robot Interaction (HRI) represents a significant advancement towards achieving more natural and effective communication between humans and robots. This research explores the application of state-of-the-art NLP techniques to enhance HRI, focusing on improving robots' abilities to understand and generate human language. Key components of our approach include advanced speech recognition, natural language understanding (NLU), dialogue management, and natural language generation (NLG). We designed and implemented an HRI system that leverages models such as BERT for language understanding and GPT-3 for generating contextually appropriate responses. Our methodology involves integrating these NLP models with a robotics platform, ensuring real-time interaction capabilities while maintaining a high level of accuracy and context awareness. The system was evaluated through a series of user studies, measuring performance metrics such as accuracy, latency, and user satisfaction. Results indicate that our NLP-enhanced HRI system significantly improves the quality of interactions, demonstrating superior understanding and responsiveness compared to traditional systems. This paper discusses the implementation challenges, including computational constraints and ambiguity resolution, and provides insights into user feedback and system performance. Future work will focus on enhancing context management, exploring multimodal interaction, and addressing ethical considerations in deploying advanced HRI systems. Our findings underscore the potential of NLP to transform human-robot communication, paving the way for more intuitive and effective robotic assistants in various domains. Keywords: Human-Robot Interaction (HRI), Natural Language Processing (NLP), Conversational AI, Speech Recognition, Natural Language Understanding (NLU), Natural Language Generation (NLG), Multimodal Interaction, Dialogue Systems, Context Awareness, Emotion Recognition, Machine Learning in HRI, Personalized Interaction, User Experience (UX) in HRI, Human-Centered Design, Collaborative Robots (Cobots)

    2024 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · Malik, Dr Pankaj

    2024
  16. REVIEW OF VARIOUS APPLICATION OF IOT USING MACHINE LEARNING

    2024 · Lala, Ajay, Kalsi, Prof. Kamaljeet Singh Kalsi

    2024
  17. Machine Learning Applications Across Various Domains: A Comprehensive Review

    2024 · International Journal of Latest Engineering and Management Research (IJLEMR) · Yadav, Hari Narayan Ray

    2024
  18. 2024
  19. An Investigation of Various Machine Learning Applications to Improve Food Agriculture Sectors

    2024 · Paricherla, Mutyalaiah, Kollu, Archana, Bangare, Jyoti L. et al.

    2024
  20. Application of various machine learning techniques to the analysis of clinical, anamnestic, and embryological data of patients undergoing assisted reproductive technologies

    2024 · Akusherstvo i ginekologiia · Drapkina, Drapkina Yu.S., Makarova, Makarova N.P., Vasilev, Vasilev R.A. et al.

    2024
  21. Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions

    2024 · Izvestiya of Saratov University Earth Sciences · Nikolaenko, Sergey V., Kovalenko, A. A., Nateganov, A. et al.

    2024
  22. Analysis on Various Aspects of Internet of Nano-Things (IoNT), Its Integration in Machine Learning, and Its Diverse Applications

    2024 · Advances in chemical and materials engineering book series · Bahadur, Preeti Singh

    2024
  23. A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing

    2024 · Tikrit Journal of Pure Science · Talabani, Hardi Sabah, Jumaa, Ihsan Hamza

    2024

Command palette

Jump anywhere, run any action.