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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

An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment

Mohammad Feli,

Mohammad Feli

Department of Computing

mohammad.feli@utu.fi

Iman Azimi,

Iman Azimi

Department of Computer Science

info@rnfinity.com

Arman Anzanpour,

Arman Anzanpour

Department of Computing

info@rnfinity.com

Amir M. Rahmani

Amir M. Rahmani

Department of Computer Science

info@rnfinity.com


Photoplethysmography (PPG) is a non-invasive technique used in wearable devices to measure vital signs (e.g., heart rate). The method is, however, highly susceptible to motion artifacts, which are inevitable in remote health monitoring. Noise reduces signal quality, leading to inaccurate decision-making. In addition, unreliable data collection and transmission waste a massive amount of energy on b...
2 years ago

Physics Maths Engineering

Refining a deep learning-based formant tracker using linear prediction methods

Sudarsana Reddy Kadiri,

Sudarsana Reddy Kadiri

Department of Information and Communications Engineering

sudarsana.kadiri@aalto.fi

Paavo Alku

Paavo Alku

Department of Information and Communications Engineering

info@rnfinity.com


In this study, formant tracking is investigated by refining the formants tracked by an existing data-driven tracker, DeepFormants, using the formants estimated in a model-driven manner by linear prediction (LP)-based methods. As LP-based formant estimation methods, conventional covariance analysis (LP-COV) and the recently proposed quasi-closed phase forward–backward (QCP-FB) analysis are used. ...
2 years ago

Physics Maths Engineering

Hierarchical fuzzy deep learning system for various classes of images

Shashank Kamthan

Shashank Kamthan

Wayne State University

kamthan.shashank@gmail.com


There has been an increasing interest in the development of deep-learning models for the large data processing such as images, audio, or video. Image processing has made breakthroughs in addressing important problems such as genome-wide biological networks, map interactions of genes and proteins, network, etc. With the increase in sophistication of the system, and other areas such as internet of t...
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


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

Physics Maths Engineering

Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach

Ilias Gialampoukidis,

Ilias Gialampoukidis

Information Technologies Institute, Centre for Research and Technology Hellas,

heliasgj@iti.gr

Thomas Papadimos,

Thomas Papadimos

Information Technologies Institute, Centre for Research and Technology Hellas

info@rnfinity.com

Stelios Andreadis,

Stelios Andreadis

Information Technologies Institute, Centre for Research and Technology Hellas

info@rnfinity.com

Stefanos Vrochidis

Stefanos Vrochidis

Information Technologies Institute, Centre for Research and Technology Hellas

info@rnfinity.com


This paper discusses the importance of detecting breaking events in real time to help emergency response workers, and how social media can be used to process large amounts of data quickly. Most event detection techniques have focused on either images or text, but combining the two can improve performance. The authors present lessons learned from the Flood-related multimedia task in MediaEval2020, ...
2 years ago

Physics Maths Engineering

Deep Learning Based Vehicle Detection on Real and Synthetic Aerial Images: Training Data Composition and Statistical Influence Analysis

Michael Krump

Michael Krump

Institute of Flight Systems, University of the Bundeswehr Munich, 85579 Neubiberg, Germany

michael.krump@unibw.de


The performance of deep learning based algorithms is significantly influenced by the quantity and quality of the available training and test datasets. Since data acquisition is complex and expensive, especially in the field of airborne sensor data evaluation, the use of virtual simulation environments for generating synthetic data are increasingly sought. In this article, the complete process chai...
2 years ago

Related Subjects

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