Electronics_SI 2023 : Special Issues on Applications of Deep Learning Techniques

We are pleased to invite you to submit a paper for Special Issue "Applications of Deep Learning Techniques" in Electronics. This international, peer-reviewed, open access journal on the science of electronics and its applications is published semimonthly by MDPI.

Since the concept “Deep Neural Networks (DNNs)” was proposed, a number of subsequent deep learning techniques, including convolutional neural networks, graph neural networks, sequence-to-sequence models, generative models, deep reinforcement learning, and others, have been proposed. Those deep-learning techniques are widely applied to different fields and domains, including self-driving, virtual assistants, healthcare, personalization, automatic game playing, chatbots, etc. Meanwhile, fantastic deep learning applications such as AlphaGo, Alexa, AlphaFold2, ChatGPT, and others have been developed and are changing human life.

The journal's Special Issue aims to set a milestone in this rapidly growing subject area with archive articles in the journal to reflect the current state of the art in the research and/or current practices, as well as a set of survey, review, and visionary research papers that summarize the results so far, analyze the challenges ahead, and set a roadmap for the future directions. All submissions will be rigorously reviewed according to the standard of internationally top-ranked journals fairly and scientifically according to the criteria of (a) the scientific and technological soundness, (b) the maturity of the research work, (c) the relevance to the theme of the Special Issue, (d) the timeliness of the work, (e) the significance of the contribution, and (f) the presentation quality.

**** TOPICS ****
The following topics are especially welcome, but submissions are not limited to them.

1. Deep learning techniques for legal intelligence, such as legal text classification, argument mining, judgment prediction, and others.
2. Deep learning techniques for natural language processing, such as information retrieval, text summarization, sentiment analysis, and others.
3. Deep learning techniques for software engineering, including software development, software testing, software maintenance, and others.
4. Deep learning techniques for healthcare and medical systems, such as precision medicine, drug discovery, molecular modeling, smart diagnostics, medical imaging, and others.
5. Deep learning techniques for social media analysis, such as real-time violence detection, dis/misinformation, hate speech recognition, country reputation monitoring, and others
6. Deep learning techniques for academic data mining, such as information extraction from scientific text, innovation measurement, citation analysis, and others.
7. Deep generative techniques and applications for education, entertainment, finance, materials science, and others.
8. The application of deep learning techniques in other special domains such as cybersecurity, business intelligence, Internet of Things, precious agriculture, smart cities, etc.
9. Data quality evaluation, assurance, and improvement for deep learning in various applications.
10. Responsibility, fairness, ethics, bias, trustworthiness, transparency, accountability, safety, and privacy in deep learning applications.

**** IMPORTANT DATES ****
Deadline for manuscript submissions: 15 February 2024

**** SUBMISSION GUIDELINES ****
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website - https://login.mdpi.com/login. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.