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The Journal of Signal Processing and Wireless Networks (JSPWN) covers topics such as analyzing and processing audio/speech, image/video, and signal processing for communication. It includes research on digital signal processing algorithms and wireless network protocols, as well as applications of IoT technologies. It also focuses on wireless LANs, MIMO (Multiple Input Multiple Output) technology, Wi-Fi technologies, cellular networks, broadband wireless data networking, and network architectures and protocols.
JSPWN welcomes submissions from researchers, academics, and professionals working in the field of signal processing and wireless networks from any part of the world.
Submissions to the Journal of Signal Processing and Wireless Networks (JSPWN) undergo a rigorous peer-review process led by experts in signal processing and wireless networks. The review involves detailed evaluation by the peer-review committee, editorial board, and section editor to ensure academic quality and relevance to the field. Final decisions on articles are made based on feedback and recommendations provided by these esteemed reviewers.
JSPWN accepts original research articles, review articles, technical notes, and case studies related to signal processing and wireless networks.
Authors can submit their studies online through the JOISS Journals of Engineering submission portal. Detailed guidelines for authors are available at https://joissresearch.org/joiss-engineering/
JOISS JAIML covers AI and ML topics including algorithm design, machine learning methods, and applications such as robotics and healthcare. It explores supervised, unsupervised, and deep learning techniques, with a focus on interdisciplinary applications in finance, cyber security, and autonomous systems. Recent advancements in AI such as generative AI and explainable AI are also featured.
Researchers, scientists, engineers, and practitioners involved in artificial intelligence and machine learning research can publish their work in JOISS JAIML.
Submissions to the Journal of Artificial Intelligence and Machine Learning (JAIML) undergo a rigorous peer-review process led by experts in Artificial Intelligence and Machine Learning. The review involves detailed evaluation by the peer-review committee, editorial board, and section editor to ensure academic quality and relevance to the field. Final decisions on articles are made based on feedback and recommendations provided by these esteemed reviewers.
JAIML welcomes original research articles, survey papers, technical reports, and innovative applications of AI and machine learning.
Authors can submit their studies online through the JOISS Journals of Engineering submission portal. Detailed guidelines for authors are available at https://joissresearch.org/joiss-engineering/
JOISS Journal of Renewable and Sustainable Energy (JRSE) covers topics including renewable energy economics, solar and wind energy, bioenergy, distributed energy generation, energy-efficient buildings, energy storage, fuel cells, marine and hydroelectric energy, transportation technologies, and geothermal energy extraction. The journal also explores renewable energy policies and resource assessment methods.
Researchers, engineers, policymakers, and practitioners working in the field of renewable and sustainable energy can contribute to JOISS JRSE.
Submissions to the JOISS Journal of Renewable and Sustainable Energy (JRSE) undergo a rigorous peer-review process led by experts in Renewable and Sustainable Energy. The review involves detailed evaluation by the peer-review committee, editorial board, and section editor to ensure academic quality and relevance to the field. Final decisions on articles are made based on feedback and recommendations provided by these esteemed reviewers.
JOISS JRSE accepts original research articles, review papers, case studies, and perspectives that contribute to advancements in renewable and sustainable energy.
Authors can submit their studies online through the JOISS Journals of Engineering submission portal. Detailed guidelines for authors are available at https://joissresearch.org/joiss-engineering/
Ninad Sunilkumar Bhatt has over two decades of academic experience, including professor in electronics and communication and Dean of academics and research and development in private engineering institutions in India. Ninad Sunilkumar Bhatt has extensive practical experience as a quality control engineer and has made significant contributions to his field by authoring and presenting over 50 research publications at renowned national and international conferences and journals. His expertise has earned him a role as a reviewer for distinguished international journals, including the International Journal of Speech Technology published by Springer. Ninad Sunilkumar Bhatt’s commitment to education extends to mentoring and supervising students in their doctoral studies and actively participating in faculty and student development programs to share his expertise with expert talks on speech signal processing and wireless communication networks. His academic journey includes completing a Bachelor of Engineering in electronics from Veer Narmad South Gujarat University, a Master of Engineering in electronics and communication systems from Dharmsinh Desai University, a Master of Arts in leadership from Trinity Western University in Canada, and a Doctor of Philosophy in electronics and communication engineering from Veer Narmad South Gujarat University.
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