Journal articles on the topic 'Architectures and machine learning models'
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Putra, Muhammad Daffa Arviano, Tawang Sahro Winanto, Retno Hendrowati, Aji Primajaya, and Faisal Dharma Adhinata. "A Comparative Analysis of Transfer Learning Architecture Performance on Convolutional Neural Network Models with Diverse Datasets." Komputika : Jurnal Sistem Komputer 12, no. 1 (2023): 1–11. http://dx.doi.org/10.34010/komputika.v12i1.8626.
Full textDr. Pradeep Laxkar and Dr. Nilesh Jain. "A Review of Scalable Machine Learning Architectures in Cloud Environments: Challenges and Innovations." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2907–16. https://doi.org/10.32628/cseit25112764.
Full textJournal, of Global Research in Electronics and Communications. "A Review of Scalable Machine Learning Architectures in Cloud Environments: Challenges and Innovations." Journal of Global Research in Electronics and Communications 1, no. 4 (2025): 7–11. https://doi.org/10.5281/zenodo.15115138.
Full textPukach, Pavlo. "Analysis of framework networks for sign detection in deep learning models." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 12 (December 15, 2022): 169–76. http://dx.doi.org/10.23939/sisn2022.12.169.
Full textMeda, Shefqet, and Ervin Domazet. "Advanced computer architecture optimization for machine learning/deep learning." CRJ, no. 5 (July 31, 2024): 28–41. http://dx.doi.org/10.59380/crj.vi5.5108.
Full textAirlangga, Gregorius. "A Hybrid CNN-RNN Model for Enhanced Anemia Diagnosis: A Comparative Study of Machine Learning and Deep Learning Techniques." Indonesian Journal of Artificial Intelligence and Data Mining 7, no. 2 (2024): 366. http://dx.doi.org/10.24014/ijaidm.v7i2.29898.
Full textPraveen, Kumar Sridhar. "A Case Study on the Diminishing Popularity of Encoder-Only Architectures in Machine Learning Models." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 13, no. 4 (2024): 22–27. https://doi.org/10.35940/ijitee.D9827.13040324.
Full textWalid, Abdullah, and Salah Ahmad. "A novel hybrid deep learning model for price prediction." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 3420–31. https://doi.org/10.11591/ijece.v13i3.pp3420-3431.
Full textBabhulkar, Mr Shubham. "Application of Machine Learning for Emotion Classification." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1567–72. http://dx.doi.org/10.22214/ijraset.2021.36459.
Full textSiddesh, Kumar B., and Naduvinamani Onkarappa. "Machine Learning in Power Electronics: Focusing on Convolutional Neural Networks." International Journal of Computational Engineering and Management (IJCEM), A Peer Reviewed Refereed Multidisciplinary Research Journal 9, no. 1 (2021): 112–17. https://doi.org/10.5281/zenodo.14899610.
Full textDayan, Peter. "Recurrent Sampling Models for the Helmholtz Machine." Neural Computation 11, no. 3 (1999): 653–77. http://dx.doi.org/10.1162/089976699300016610.
Full textAlshamrani, Khalaf, Hassan Alshamrani, F. F. Alqahtani, and Ali H. Alshehri. "Automation of Cephalometrics Using Machine Learning Methods." Computational Intelligence and Neuroscience 2022 (June 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/3061154.
Full textShakil, Farhan, Sadia Afrin, Abdullah Al Mamun, et al. "HYBRID MULTI-MODAL DETECTION FRAMEWORK FOR ADVANCED PERSISTENT THREATS IN CORPORATE NETWORKS USING MACHINE LEARNING AND DEEP LEARNING." International Journal of Computer Science & Information System 10, no. 02 (2025): 6–20. https://doi.org/10.55640/ijcsis/volume10issue02-02.
Full textAbdullah, Walid, and Ahmed Salah. "A novel hybrid deep learning model for price prediction." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 3420. http://dx.doi.org/10.11591/ijece.v13i3.pp3420-3431.
Full textKhrisat, Mohammad S., Anwar Alabadi, Saleh Khawatreh, Majed Omar Al-Dwairi, and Ziad A. Alqadi. "Autoregressive prediction analysis using machine deep learning." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1509–15. https://doi.org/10.11591/ijeecs.v27.i3.pp1509-1515.
Full textBoya Marqas, Ridwan, Saman M. Almufty, Renas R. Asaad, and Dr Tamara Saad mohamed. "Advancing AI: A Comprehensive Study of Novel Machine Learning Architectures." International Journal of Scientific World 11, no. 1 (2025): 48–85. https://doi.org/10.14419/kwb24564.
Full textAdivarekar1, Pravin P., Amarnath Prabhakaran A, Sukhwinder Sharma, Divya P, Muniyandy Elangovan, and Ravi Rastogi. "Automated machine learning and neural architecture optimization." Scientific Temper 14, no. 04 (2023): 1345–51. http://dx.doi.org/10.58414/scientifictemper.2023.14.4.42.
Full textAssagaf, Idrus, Agus Sukandi, and Abdul Azis Abdillah. "Machine Failure Detection using Deep Learning." Recent in Engineering Science and Technology 1, no. 03 (2023): 26–31. http://dx.doi.org/10.59511/riestech.v1i03.21.
Full textSridhar, Praveen Kumar, Nitin Srinivasan, Adithyan Arun Kumar, Gowthamaraj Rajendran, and Kishore Kumar Perumalsamy. "A Case Study on the Diminishing Popularity of Encoder-Only Architectures in Machine Learning Models." International Journal of Innovative Technology and Exploring Engineering 13, no. 4 (2024): 22–27. http://dx.doi.org/10.35940/ijitee.d9827.13040324.
Full textBangar Raju Cherukuri and Senior Web Developer. "Scalable machine learning model deployment using serverless cloud architectures." World Journal of Advanced Engineering Technology and Sciences 5, no. 1 (2022): 087–101. https://doi.org/10.30574/wjaets.2022.5.1.0025.
Full textYerraginnela Shravani. "Enhanced Heart Disease Prediction Using Advanced Machine Learning and Deep Learning Models." Journal of Information Systems Engineering and Management 10, no. 5s (2025): 768–85. https://doi.org/10.52783/jisem.v10i5s.771.
Full textSundaram, Aishwarya, Hema Subramaniam, Siti Hafizah Ab Hamid, and Azmawaty Mohamad Nor. "An adaptive data-driven architecture for mental health care applications." PeerJ 12 (March 29, 2024): e17133. http://dx.doi.org/10.7717/peerj.17133.
Full textImran, Sheik, and Pradeep N. "A Review on Ensemble Machine and Deep Learning Techniques Used in the Classification of Computed Tomography Medical Images." International Journal of Health Sciences and Research 14, no. 1 (2024): 201–13. http://dx.doi.org/10.52403/ijhsr.20240124.
Full textPolson, Sarah, and Vadim Sokolov. "Kolmogorov GAM Networks Are All You Need!" Entropy 27, no. 6 (2025): 593. https://doi.org/10.3390/e27060593.
Full textChada, Govind. "Machine Learning Models for Abnormality Detection in Musculoskeletal Radiographs." Reports 2, no. 4 (2019): 26. http://dx.doi.org/10.3390/reports2040026.
Full textMamidi, Sundeep Reddy. "Securing Multi-Cloud Architectures: A Machine Learning Perspective." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 2, no. 1 (2024): 233–47. http://dx.doi.org/10.60087/jaigs.v2i1.160.
Full textKumar, M. Rupesh, Susmitha Vekkot, S. Lalitha, et al. "Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures." Sensors 22, no. 23 (2022): 9311. http://dx.doi.org/10.3390/s22239311.
Full textPUKACH, Pavlo. "REVIEW AND ANALYSIS OF BASIC FEATURE DETECTION NETWORKS FOR CLASSIFICATION OF MRI IMAGES IN DEEP LEARNING MODELS." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6(1) (2022): 183–87. http://dx.doi.org/10.31891/2307-5732-2022-315-6-183-187.
Full textAliyu, M. Abdu, M. Mokji Musa, and U. Sheikh Usman. "Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning." International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 670–83. https://doi.org/10.11591/ijai.v9.i4.pp670-683.
Full textShin, Jihye, Hyeonjoon Moon, Chang-Jae Chun, Taeyong Sim, Eunhee Kim, and Sujin Lee. "Enhanced Data Processing and Machine Learning Techniques for Energy Consumption Forecasting." Electronics 13, no. 19 (2024): 3885. http://dx.doi.org/10.3390/electronics13193885.
Full textRajeev Reddy Chevuri. "The Role of GPUs in Accelerating Machine Learning Workloads." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2676–84. https://doi.org/10.32628/cseit251127424.
Full textCorceiro, Ana, Nuno Pereira, Khadijeh Alibabaei, and Pedro D. Gaspar. "Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard Flora Classification." Algorithms 17, no. 1 (2023): 19. http://dx.doi.org/10.3390/a17010019.
Full textThakurdesai, Amogh. "Stock Price Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 1432–38. http://dx.doi.org/10.22214/ijraset.2024.64895.
Full textChennupati, Gopinath, Nandakishore Santhi, Phill Romero, and Stephan Eidenbenz. "Machine Learning–enabled Scalable Performance Prediction of Scientific Codes." ACM Transactions on Modeling and Computer Simulation 31, no. 2 (2021): 1–28. http://dx.doi.org/10.1145/3450264.
Full textKhrisat, Mohammad S., Anwar Alabadi, Saleh Khawatreh, Majed Omar Al-Dwairi, and Ziad A. Alqadi. "Autoregressive prediction analysis using machine deep learning." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1509. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1509-1516.
Full textXiao, Yuxin, Yuanning Zhai, Lei Zhou, Yiming Yin, Hengnian Qi, and Chu Zhang. "Detection of Soluble Solid Content in Citrus Fruits Using Hyperspectral Imaging with Machine and Deep Learning: A Comparative Study of Two Citrus Cultivars." Foods 14, no. 12 (2025): 2091. https://doi.org/10.3390/foods14122091.
Full textDipanjan De et al.,, Dipanjan De et al ,. "Optimizing IoT Cloud Architectures for Pipelining Data through Machine Learning Models." International Journal of Computer Networking, Wireless and Mobile Communications 9, no. 1 (2019): 35–44. http://dx.doi.org/10.24247/ijcnwmcjun20195.
Full textMd Ismail Hossain Siddiqui, Anamul Haque Sakib, Sanjida Akter, Jesika Debnath, and Mohammad Rasel Mahmud. "Comparative analysis of traditional machine learning Vs deep learning for sleep stage classification." International Journal of Science and Research Archive 15, no. 1 (2025): 1778–89. https://doi.org/10.30574/ijsra.2025.15.1.1159.
Full textAlbattah, Waleed, and Saleh Albahli. "Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures." Applied Sciences 12, no. 19 (2022): 10155. http://dx.doi.org/10.3390/app121910155.
Full textRakesh Chowdary Ganta. "Scaling machine learning and operations research models for omni-channel retail in the cloud: A framework for real-time decision optimization." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 1842–59. https://doi.org/10.30574/wjarr.2025.26.2.1793.
Full textSushma, Prof Ksn, Nishant Upadhyay, Ajeet Singh, Prasenjeet Kr Singh, and Tanzeelah Firdaus. "Plant Disease Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1099–101. http://dx.doi.org/10.22214/ijraset.2022.41451.
Full textCohn, D. A., Z. Ghahramani, and M. I. Jordan. "Active Learning with Statistical Models." Journal of Artificial Intelligence Research 4 (March 1, 1996): 129–45. http://dx.doi.org/10.1613/jair.295.
Full textPozas-Kerstjens, Alejandro, Senaida Hernández-Santana, José Ramón Pareja Monturiol, et al. "Privacy-preserving machine learning with tensor networks." Quantum 8 (July 25, 2024): 1425. http://dx.doi.org/10.22331/q-2024-07-25-1425.
Full textYermolenko, Ruslan, Denys Klekots, and Olga Gogota. "Development of an algorithm for detecting commercial unmanned aerial vehicles using machine learning methods." Naukovij žurnal «Tehnìka ta energetika» 15, no. 2 (2024): 33–45. http://dx.doi.org/10.31548/machinery/2.2024.33.
Full textDara, Omer Asghar, Jose Manuel Lopez-Guede, Hasan Issa Raheem, Javad Rahebi, Ekaitz Zulueta, and Unai Fernandez-Gamiz. "Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey." Applied Sciences 13, no. 14 (2023): 8298. http://dx.doi.org/10.3390/app13148298.
Full textSekhar, Ravi, Nitin Solke, and Pritesh Shah. "Lean Manufacturing Soft Sensors for Automotive Industries." Applied System Innovation 6, no. 1 (2023): 22. http://dx.doi.org/10.3390/asi6010022.
Full textGoyal, Dinesh. "Foreword of Special Issue on : Current Research Trends in Secure Computer Vision, IoT and Machine Learning." Journal of Discrete Mathematical Sciences & Cryptography 26, no. 3 (2023): i—vii. http://dx.doi.org/10.47974/jdmsc-26-3-foreword.
Full textHelal, Maha, Tariq Kashmeery, Mohammed Zakariah, and Wesam Shishah. "Internet of things and intrusion detection fog computing architectures using machine learning techniques." Decision Science Letters 13, no. 4 (2024): 767–82. http://dx.doi.org/10.5267/j.dsl.2024.9.003.
Full textHelcl, Jindřich, and Jindřich Libovický. "Neural Monkey: An Open-source Tool for Sequence Learning." Prague Bulletin of Mathematical Linguistics 107, no. 1 (2017): 5–17. http://dx.doi.org/10.1515/pralin-2017-0001.
Full textAbdu, Aliyu Muhammad, Musa Mohd Muhammad Mokji, and Usman Ullah Ullah Sheikh. "Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 670. http://dx.doi.org/10.11591/ijai.v9.i4.pp670-683.
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