Exploring the World of Computer Science: Research, Innovation, and Opportunity
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Computer science is more than just a high-demand career path — it's a rapidly evolving field shaping the future of everything from healthcare to entertainment. Whether you're new to the discipline or a seasoned computer scientist, the opportunities for exploration and contribution are endless. Our platform welcomes original, non-peer-reviewed articles in computer science and related areas — and now, we’re offering free publication with monetization opportunities for contributors.
A Platform for Sharing Ideas and Insights
We aim to create a space where researchers, students, and enthusiasts can share their insights into topics ranging from artificial intelligence and cyber security to theoretical computer science and scientific computing. Whether you're diving into a new comp sci course, exploring mathematics for computer science, or conducting cs research, your voice matters — and we’d love to amplify it.
While we don’t offer computer science degrees, online computer science programs, or a bachelor’s in computer science, we provide a valuable outlet for those engaged in the field to share their perspectives and discoveries.
Your Experience is Worth Sharing
Whether you're pursuing a bs in computer science, working toward an msc computer science, enrolled in an online cs degree, or even completing a phd in computer science, you still have something valuable to contribute. Regardless of your academic path — from an associate degree to a doctorate — your perspective, research, or experience can help shape the conversation and inspire others in the computer science community.
Diverse Topics, Real Impact
Some of our most engaging submissions come from authors who have explored specific educational journeys, such as attending a computer science university or navigating an online master’s in computer science. Others dive into trending topics like ai computer scientist ethics, forensic computer applications, or the role of computer science in human behavior.
Writers often review essential tools like the best laptops for cs students, share insights about computer science programming, or discuss the experiences of being a female computer scientist. Every article contributes to a wider understanding of what it means to study and work in the field today.
Submit and Be Seen
By sharing your work, you’re not only building your own portfolio — you’re contributing to a global dialogue. Your article can live alongside discussions of cs games, comp sci major experiences, or insights drawn from communities like computer science reddit. Whether you're taking intro to cs or exploring advanced topics like computer science and cyber security, your voice has value.
Submit your article today, share your knowledge, and monetize your voice. Let’s advance the field of computer science — together.
Computer Science Articles
Physics Maths Engineering
Joan Danielle K. Ongchoco,
Joan Danielle K. Ongchoco
Institution: Department of Psychology
Email: info@rnfinity.com
Madeline Gedvila,
Madeline Gedvila
Institution: Department of Psychology
Email: info@rnfinity.com
Wilma A. Bainbridge
Wilma A. Bainbridge
Institution: Department of Psychology
Email: info@rnfinity.com
Time is the fabric of experience — yet it is incredibly malleable in the mind of the observer: seeming to drag on, or fly right by at different moments. One of the most influential drivers of temporal distortions is attention, where heightened attention dilates subjective time. But an equally important feature of subjective experience involves not just the objects of attention, but also what inf...
1 year ago
Physics Maths Engineering
Abstract This article presents a fast parallel lossless technique and a lossy image compression technique for 16-bit single-channel images. Nowadays, such techniques are “a must” in robotics and other areas where several depth cameras are used. Since many of these algorithms need to be run in low-profile hardware, as embedded systems, they should be very fast and customizable. The proposal is ...
1 year ago
Physics Maths Engineering
Baekcheon Seong,
Baekcheon Seong
Institution: Yonsei University
Email: info@rnfinity.com
Abstract Several image-based biomedical diagnoses require high-resolution imaging capabilities at large spatial scales. However, conventional microscopes exhibit an inherent trade-off between depth-of-field (DoF) and spatial resolution, and thus require objects to be refocused at each lateral location, which is time-consuming. Here, we present a computational imaging platform, termed E2E-BPF micro...
1 year ago
Physics Maths Engineering
Saeed Niksaz,
Saeed Niksaz
Institution: Shahid Bahonar University of Kerman
Email: info@rnfinity.com
Automatic medical report generation is the production of reports from radiology images that are grammatically correct and coherent. Encoder-decoder is the most common architecture for report generation, which has not achieved to a satisfactory performance because of the complexity of this task. This paper presents an approach to improve the performance of report generation that can be easily added...
1 year ago
Physics Maths Engineering
Rong Lan,
Rong Lan
Institution: Xi’an University of Posts and Telecommunications
Email: info@rnfinity.com
Haowen Mi,
Haowen Mi
Institution: Xi’an University of Posts and Telecommunications
Email: 1466403072@qq.com
Na Qu,
Na Qu
Institution: Xi’an University of Posts and Telecommunications
Email: info@rnfinity.com
Feng Zhao,
Feng Zhao
Institution: Xi’an University of Posts and Telecommunications
Email: info@rnfinity.com
Haiyan Yu,
Haiyan Yu
Institution: Xi’an University of Posts and Telecommunications
Email: info@rnfinity.com
Lu Zhang
Lu Zhang
Institution: Xi’an University of Posts and Telecommunications
Email: info@rnfinity.com
Abstract Although evidence c-means clustering (ECM) based on evidence theory overcomes the limitations of fuzzy theory to some extent and improves the capability of fuzzy c-means clustering (FCM) to express and process the uncertainty of information, the ECM does not consider the spatial information of pixels, which makes it to be unable to effectively deal with noise pixels. Applying ECM directly...
1 year ago
Physics Maths Engineering
Abstract Generally, a large amount of training data is essential to train deep learning model for obtaining more accurate detection performance in computer vision domain. However, to collect and annotate datasets will lead to extensive cost. In this letter, we propose a self-supervised auxiliary task to learn general videos features without adding any human-annotated labels, aiming at improving th...
1 year ago
Physics Maths Engineering
Betty Saridou,
Betty Saridou
Institution: Lab of Mathematics and Informatics (ISCE), Faculty of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace
Email: dsaridou@civil.duth.gr
Stavros Shiaeles,
Stavros Shiaeles
Institution: Centre for Cybercrime and Economic Crime, University of Portsmouth
Email: stavros.shiaeles@port.ac.uk
Basil Papadopoulos
Basil Papadopoulos
Institution: Lab of Mathematics and Informatics (ISCE), Faculty of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace
Email: papadob@civil.duth.gr
Image conversion of malicious binaries, or binary visualisation, is a relevant approach in the security community. Recently, it has exceeded the role of a single-file malware analysis tool and has become a part of Intrusion Detection Systems (IDSs) thanks to the adoption of Convolutional Neural Networks (CNNs). However, there has been little effort toward image segmentation for the converted image...
1 year ago
Physics Maths Engineering
Zilu Zhao,
Zilu Zhao
Institution: Aerospace Information Research Institute, Chinese Academy of Sciences
Email: info@rnfinity.com
Hui Long,
Hui Long
Institution: Aerospace Information Research Institute, Chinese Academy of Sciences
Email: longhui@aircas.ac.cn
Hongjian You
Hongjian You
Institution: Aerospace Information Research Institute, Chinese Academy of Sciences
Email: info@rnfinity.com
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high real-time data processing requirements. The effective and reliable geometric positioning of remote sensing images is the foundation of remote sen...
1 year ago
Physics Maths Engineering
P. Keith Kelly
P. Keith Kelly
Institution: Agile RF Systems LLC
Email: info@rnfinity.com
This article develops the applicability of non-linear processing techniques such as Compressed Sensing (CS), Principal Component Analysis (PCA), Iterative Adaptive Approach (IAA), and Multiple-input-multiple-output (MIMO) for the purpose of enhanced UAV detections using portable radar systems. The combined scheme has many advantages and the potential for better detection and classification accurac...
1 year ago
Physics Maths Engineering
Youchen Fan,
Youchen Fan
Institution: School of Space Information, Space Engineering University
Email: love193777@sina.com
Mingyu Qin,
Mingyu Qin
Institution: Graduate School, Space Engineering University
Email: info@rnfinity.com
Huichao Guo,
Huichao Guo
Institution: Department of Electronic and Optical Engineering, Space Engineering University
Email: info@rnfinity.com
Laixian Zhang
Laixian Zhang
Institution: Department of Electronic and Optical Engineering, Space Engineering University
Email: info@rnfinity.com
The range-gated laser imaging instrument can capture face images in a dark environment, which provides a new idea for long-distance face recognition at night. However, the laser image has low contrast, low SNR and no color information, which affects observation and recognition. Therefore, it becomes important to convert laser images into visible images and then identify them. For image translation...
1 year ago