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High-Impact Research from The Computer Journal

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Explore a collection of the most read and most cited articles making an impact in The Computer Journal published within the past two years. This collection will be continuously updated with the journal's leading articles so be sure to revisit periodically to see what is being read and cited.

Also discover the articles being discussed the most on digital media by exploring this Altmetric report pulling the most discussed articles from the past year.

Most cited

A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction
Xu Zhang and others
The Computer Journal, Volume 67, Issue 1, January 2024, Pages 236–252, https://doi.org/10.1093/comjnl/bxac171
Accurate traffic flow prediction is valuable for satisfying citizens’ travel needs and alleviating urban traffic pressure. However, it is highly challenging due to the complexity of the urban geospatial structure and the highly nonlinear temporal and spatial dependence on human mobility. Most existing works proposed to ...
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model
Peng Chen and others
The Computer Journal, Volume 65, Issue 11, November 2022, Pages 2909–2925, https://doi.org/10.1093/comjnl/bxac085
Quality of data services is crucial for operational large-scale internet-of-things (IoT) research data infrastructure, in particular when serving large amounts of distributed users. Effectively detecting runtime anomalies and diagnosing their root cause helps to defend against adversarial attacks, thereby essentially ...
A Fuzzy Inference-Based Decision Support System for Disease Diagnosis
Talha Mahboob Alam and others
The Computer Journal, Volume 66, Issue 9, September 2023, Pages 2169–2180, https://doi.org/10.1093/comjnl/bxac068
Disease diagnosis is an exciting task due to many associated factors. Inaccuracy in the measurement of a patient’s symptoms and the medical expert’s expertise has some limitations capacity to articulate cause affects the diagnosis process when several connected variables contribute to uncertainty in the diagnosis process. ...
Behavior Analysis-Based IoT Services For Crowd Management
Talal H Noor
The Computer Journal, Volume 66, Issue 9, September 2023, Pages 2208–2219, https://doi.org/10.1093/comjnl/bxac071
With the world population growing exponentially reaching 7.8 billion people in 2020, the issue of crowd management has become more difficult especially when the situation requires social distancing (e.g. due to COVID-19). The Internet of Things (IoT) technology can help in tackling such issues. In this article, we propose ...
Practical Blockchain-Based Steganographic Communication Via Adversarial AI: A Case Study In Bitcoin
Minxian Wang and others
The Computer Journal, Volume 65, Issue 11, November 2022, Pages 2926–2938, https://doi.org/10.1093/comjnl/bxac090
With the development of 5G, the wireless Internet of Things (IoT) has become possible; how to provide privacy protections for the communication of IoT devices in a more vulnerable wireless transmission environment is a huge challenge. Thus, steganography is introduced as a safe and effective technology. Blockchain systems ...
L-graph Automata And Some Applications
Elham Raisi Sarbizhan and others
The Computer Journal, Volume 66, Issue 7, July 2023, Pages 1698–1716, https://doi.org/10.1093/comjnl/bxac035
This paper defines a novel graph constructed on a residuated lattice using a specific definition of the fuzzy graph (called $L$ -graph). These types of graphs also have applications in libraries, pharmacies and machine facilities. Among these applications, this research presents the $L$ -graph automaton related to the $L$ ...
Relationship Between Component Connectivity And Component Diagnosability Of Some Regular Networks
Xueli Sun and others
The Computer Journal, Volume 66, Issue 8, August 2023, Pages 2033–2042, https://doi.org/10.1093/comjnl/bxac061
As a kind of conditional connectivity, component connectivity is an improvement of traditional connectivity, which is conducive to enhance the reliability of the network. To be specific, the $r$ -component connectivity of a network $G$ , written as $c\kappa _{r}(G)$ , is defined as the minimum number of all node cuts whose ...
Automated Computer-Aided Diagnosis of Diabetic Retinopathy Based on Segmentation and Classification using K-nearest neighbor algorithm in retinal images
Jaspreet Kaur and Prabhpreet Kaur
The Computer Journal, Volume 66, Issue 8, August 2023, Pages 2011–2032, https://doi.org/10.1093/comjnl/bxac059
Diabetic retinopathy (DR) is an eye oddity where the human retina is afflicted because of the ever-increasing quantity of insulin in the blood. It leads to the loss of sight. Preliminary diagnosis of DR assists to improve to inhibit future injury. Proper DR screening has been recognized as an economical way to accumulate ...
A New Ensemble Approach for Congestive Heart Failure and Arrhythmia Classification Using Shifted One-Dimensional Local Binary Patterns with Long Short-Term Memory
Abidin Çalışkan
The Computer Journal, Volume 65, Issue 9, September 2022, Pages 2535–2546, https://doi.org/10.1093/comjnl/bxac087
The electrocardiogram (ECG) is a vital diagnostic tool for identifying a variety of cardiac disorders, including cardiac arrhythmia (ARR), sinus rhythms and heart failure. However, rapid interpretation of ECG recordings is quite important in the diagnosis of heart-related diseases. Many patients can be saved using the ...
The a-average Degree Edge-Connectivity of Bijective Connection Networks
Yayu Yang and others
The Computer Journal, Volume 66, Issue 9, September 2023, Pages 2118–2122, https://doi.org/10.1093/comjnl/bxac064
The conditional edge-connectivity is an important parameter to evaluate the reliability and fault tolerance of multi-processor systems. The $n$ -dimensional bijective connection networks $B_{n}$ contain hypercubes, crossed cubes, Möbius cubes and twisted cubes, etc. The conditional edge-connectivity of a connected graph ...

Most read

Research Article
Near Real-Time Social Distance Estimation In London
James Walsh and others
The Computer Journal, Volume 67, Issue 1, January 2024, Pages 95–109, https://doi.org/10.1093/comjnl/bxac160
To mitigate the current COVID-19 pandemic, policy makers at the Greater London Authority, the regional governance body of London, UK, are reliant upon prompt, accurate and actionable estimations of lockdown and social distancing policy adherence. Transport for London, the local transportation department, reports they ...
Research Article
SeqMask: Behavior Extraction Over Cyber Threat Intelligence Via Multi-Instance Learning
Wenhan Ge and Junfeng Wang
The Computer Journal, Volume 67, Issue 1, January 2024, Pages 253–273, https://doi.org/10.1093/comjnl/bxac172
Identification and extraction of Tactics, Techniques and Procedures (TTPs) for Cyber Threat Intelligence (CTI) restore the full picture of cyber attacks and guide the analysts to assess the system risk. Existing frameworks can hardly provide uniform and complete processing mechanisms for TTPs information extraction without ...
Research Article
Deep Learning Model for Tamil Part-of-Speech Tagging
Hemakasiny Visuwalingam and others
The Computer Journal, bxae033, https://doi.org/10.1093/comjnl/bxae033
Part-of-Speech (POS) tagging is one of the popular Natural Language Processing (NLP) tasks. It is also considered to be a preliminary task for other NLP applications such as speech recognition, machine translation, and sentiment analysis. A few works have been published on POS tagging for the Tamil language. However, the ...
Research Article
Improving Science That Uses Code
Harold Thimbleby
The Computer Journal, bxad067, https://doi.org/10.1093/comjnl/bxad067
As code is now an inextricable part of science it should be supported by competent Software Engineering, analogously to statistical claims being properly supported by competent statistics. If and when code avoids adequate scrutiny, science becomes unreliable and unverifiable because results — text, data, graphs, images, ...
Research Article
The Need for Being Explicit: Failed Attempts to Construct Implicit Certificates from Lattices
Nina Bindel and Sarah McCarthy
The Computer Journal, Volume 66, Issue 6, June 2023, Pages 1320–1334, https://doi.org/10.1093/comjnl/bxac132
Global efforts such as the National Institute of Standards and Technology (NIST)’s post-quantum standardization center on cryptographic primitives like public-key encryption and signature schemes that are secure even in the presence of quantum adversaries. In addition, one must also consider efficient certificate ...
Research Article
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model
Peng Chen and others
The Computer Journal, Volume 65, Issue 11, November 2022, Pages 2909–2925, https://doi.org/10.1093/comjnl/bxac085
Quality of data services is crucial for operational large-scale internet-of-things (IoT) research data infrastructure, in particular when serving large amounts of distributed users. Effectively detecting runtime anomalies and diagnosing their root cause helps to defend against adversarial attacks, thereby essentially ...
Research Article
GUI: A Geolocation Method for Unreachable IP
Shuodi Zu and others
The Computer Journal, bxad116, https://doi.org/10.1093/comjnl/bxad116
IP geolocation technology based on network measurement can provide IP geographic location capability without user assistance. In the case that the IP target device or intermediate route device does not respond to the detection message, the existing geolocation methods have reduced the accuracy of city-level geolocation, ...
Editorial
Thematic Editorial: Mostly Artificial Intelligence (AI) or Machine Learning (ML) Now in the Engine Room, in Pursuit of a Green Agenda
Marios C. Angelides
The Computer Journal, Volume 67, Issue 1, January 2024, Pages 1–2, https://doi.org/10.1093/comjnl/bxad115
The growth of organic food markets has exceeded all expectations with most countries including food sustainability in their policies and consumer education because of its ability to ease climate change, protect forests, improve plant health and preserve water resources. Despite rural regeneration, land surveys show that ...
Research Article
A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction
Xu Zhang and others
The Computer Journal, Volume 67, Issue 1, January 2024, Pages 236–252, https://doi.org/10.1093/comjnl/bxac171
Accurate traffic flow prediction is valuable for satisfying citizens’ travel needs and alleviating urban traffic pressure. However, it is highly challenging due to the complexity of the urban geospatial structure and the highly nonlinear temporal and spatial dependence on human mobility. Most existing works proposed to ...
Research Article
Pattern Models: A Dynamic Epistemic Logic For Distributed Systems
Armando Castañeda and others
The Computer Journal, bxae016, https://doi.org/10.1093/comjnl/bxae016
We introduce pattern models , a dynamic epistemic logic for analyzing distributed systems. First, we present a version of pattern models where the full-information protocol , widely studied in distributed computability, is static in the product definition of pattern models. Next, we parametrize such a logic so as to add ...

Recognizing and Celebrating Women in Science

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