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Computer science

Exploring the World of Computer Science: Research, Innovation, and Opportunity

Register to submit your paper, and Start Earning from your Research Articles

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

Memorable beginnings, but forgettable endings: Intrinsic scene memorability alters our subjective experience of time

Joan Danielle K. Ongchoco,

Joan Danielle K. Ongchoco

Department of Psychology

info@rnfinity.com

Madeline Gedvila,

Madeline Gedvila

Department of Psychology

info@rnfinity.com

Wilma A. Bainbridge

Wilma A. Bainbridge

Department of Psychology

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...
2 years ago

Physics Maths Engineering

FitDepth: fast and lite 16-bit depth image compression algorithm


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 ...
2 years ago

Physics Maths Engineering

E2E-BPF microscope: Extended depth-of-field microscopy using learning-based implementation of binary phase filter and image deconvolution

Baekcheon Seong,

Baekcheon Seong

Yonsei University

info@rnfinity.com

Woovin Kim,

Woovin Kim

Yonsei University

info@rnfinity.com

Younghun Kim,

Younghun Kim

Yonsei University

info@rnfinity.com

Jong-Seok Lee,

Jong-Seok Lee

Yonsei University

info@rnfinity.com

Jeonghoon Yoo,

Jeonghoon Yoo

Yonsei University

info@rnfinity.com

Chulim Joo

Chulim Joo

Yonsei University

cjoo@yonsei.ac.kr


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...
2 years ago

Physics Maths Engineering

Improving Chest X-ray Report Generation by Leveraging Text of Similar Images

Saeed Niksaz,

Saeed Niksaz

Shahid Bahonar University of Kerman

info@rnfinity.com

Fahimeh Ghasemian

Fahimeh Ghasemian

Shahid Bahonar University of Kerman

ghasemianfahime@uk.ac.ir


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...
2 years ago

Physics Maths Engineering

Robust Evidence C-Means Clustering Combining Spatial Information for Image Segmentation

Rong Lan,

Rong Lan

Xi’an University of Posts and Telecommunications

info@rnfinity.com

Haowen Mi,

Haowen Mi

Xi’an University of Posts and Telecommunications

1466403072@qq.com

Na Qu,

Na Qu

Xi’an University of Posts and Telecommunications

info@rnfinity.com

Feng Zhao,

Feng Zhao

Xi’an University of Posts and Telecommunications

info@rnfinity.com

Haiyan Yu,

Haiyan Yu

Xi’an University of Posts and Telecommunications

info@rnfinity.com

Lu Zhang

Lu Zhang

Xi’an University of Posts and Telecommunications

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...
2 years ago

Physics Maths Engineering

Attention Inspiring Receptive-Fields Multi-Task Network via Self- supervised Learning for Violence Recognition

Suyuan Li,

Suyuan Li

Northeastern University

info@rnfinity.com

Xin Song

Xin Song

Northeastern University

sxin78916@neuq.edu.cn


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...
2 years ago

Physics Maths Engineering

Image-Based Malware Detection Using α-Cuts and Binary Visualisation

Betty Saridou,

Betty Saridou

Lab of Mathematics and Informatics (ISCE), Faculty of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace

dsaridou@civil.duth.gr

Isidoros Moulas,

Isidoros Moulas

School of Computing, University of Portsmouth

isidoros.moulas@port.ac.uk

Stavros Shiaeles,

Stavros Shiaeles

Centre for Cybercrime and Economic Crime, University of Portsmouth

stavros.shiaeles@port.ac.uk

Basil Papadopoulos

Basil Papadopoulos

Lab of Mathematics and Informatics (ISCE), Faculty of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace

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...
2 years ago

Physics Maths Engineering

An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database

Zilu Zhao,

Zilu Zhao

Aerospace Information Research Institute, Chinese Academy of Sciences

info@rnfinity.com

Hui Long,

Hui Long

Aerospace Information Research Institute, Chinese Academy of Sciences

longhui@aircas.ac.cn

Hongjian You

Hongjian You

Aerospace Information Research Institute, Chinese Academy of Sciences

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...
2 years ago

Physics Maths Engineering

Non-Linear Signal Processing Methods for UAV Detections from a Multi-Function X-Band Radar

Mohit Kumar,

Mohit Kumar

Agile RF Systems LLC

mkumar@agilerfsystems.com

P. Keith Kelly

P. Keith Kelly

Agile RF Systems LLC

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...
2 years ago

Physics Maths Engineering

Laser-Visible Face Image Translation and Recognition Based on CycleGAN and Spectral Normalization

Youchen Fan,

Youchen Fan

School of Space Information, Space Engineering University

love193777@sina.com

Mingyu Qin,

Mingyu Qin

Graduate School, Space Engineering University

info@rnfinity.com

Huichao Guo,

Huichao Guo

Department of Electronic and Optical Engineering, Space Engineering University

info@rnfinity.com

Laixian Zhang

Laixian Zhang

Department of Electronic and Optical Engineering, Space Engineering University

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...
2 years ago

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