ASPress (Advancing Science Press) is a vibrant international community. Our membership is comprised of data science, analytics, machine learning, and artificial intelligence (AI) professionals and students. As an international professional society, ASPress connects members from nearly 90 countries and from all types of organizations. These include academic, business, federal government, the military, among others, who will be driving the next generation of our profession.

ASPress is proud to be a champion of diversity, equity, and inclusion. Whether you’re a leading academic researcher, a student, business leader, data scientist, or career professional building new skills. ASPress provides access to resources that create powerful opportunities and entry points to connect, be inspired, and grow your academic.

Journals

  • ASP Transactions on Pattern Recognition and Intelligent Systems

    The ASP Transactions on Pattern Recognition and Intelligent Systems (TPRIS) publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern recognition. Areas such as techniques for visual search, document and handwriting analysis, medical image recognition, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.

  • ASP Transactions on Business and Management

    ASP Transactions on Business and Management is an international, cross-disciplinary, scholarly and peer-reviewed journal of commercial, economic, and managerial development of human society. Areas such as the application of emerging technologies (e.g., the Internet of Things, artificial intelligence and blockchain), behavior of participants (e.g., companies, workers and platforms), and theoretical findings from diverse regions and countries in business and management are also covered.

  • ASP Transactions on Internet of Things

    The ASP Transactions on Internet of Things (ISSN: 2788-8401) publishes articles on the latest advances, as well as review articles, on the various aspects of IoT. Topics include IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Examples are IoT demands, impacts, and implications on sensors technologies, big data management, and future Internet design for various IoT use cases, such as smart cities, smart environments, smart homes, etc. The fields of interest include: IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.

  • ASP Transactions on Psychology and Education

    ASP Transactions on Psychology and Education(ISSN:2790-2625) is a quarterly journal oriented toward publishing high-quality papers that address the relevant psychological aspects of educational processes embedded in different institutional, social, and cultural contexts, and which focus on diversity in terms of the participants, their educational trajectories and their socio-cultural contexts. Authors are strongly encouraged to employ a variety of theoretical and methodological tools developed in the psychology of education in order to gain new insights by integrating different perspectives. Instead of reinforcing the divisions and distances between different communities stemming from their theoretical and methodological backgrounds, we would like to invite authors to engage with diverse theoretical and methodological tools in a meaningful way and to search for the new knowledge that can emerge from a combination of these tools.

  • ASP Transactions on Neural Information Computing

    ASP Transactions on Neural Information Computing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.

    ASP Transactions on Neural Information Computing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).

    ASP Transactions on Neural Information Computing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.

  • ASP Transactions on Computational Intelligence and Bioinformatics

    ASP Transactions on Computational Intelligence and Bioinformatics (TCIB) publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine. Papers must contain original content in theoretical analysis, methods, technical development, and/or novel clinical applications of information systems.

  • ASP Transactions on Computers

    ASP Transactions on Computers pay attention to publish high quality theoretical and applied research for researchers, developers, technical managers, and educators in the Computer domains.Research areas include many aspects such as:computational learning theory, operating systems, software systems, computer networks,neural networks,computer modeling of complex systems,new and important applications and trends,etc.