Computer Science Review最新文献_第2页

Research hotspots and trends of human-computer collaboration: A bibliometric analysis 人机协作研究热点与趋势：文献计量学分析

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-21 DOI: 10.1016/j.cosrev.2025.100830

Chang Guo , Anglu Li

{"title":"Research hotspots and trends of human-computer collaboration: A bibliometric analysis","authors":"Chang Guo , Anglu Li","doi":"10.1016/j.cosrev.2025.100830","DOIUrl":"10.1016/j.cosrev.2025.100830","url":null,"abstract":"<div><div>Human-computer collaboration represents a crucial model for future human-machine relationships. There is an urgent need to summarize its current state, delineate its research trajectory, and explore future trends. This paper employs a bibliometric approach, using 1713 human-computer collaboration-related publications from the Web of Science core database as initial data. With the scientific bibliometrics and software tools like VOSviewer and CiteSpace, this study creates a scientific knowledge map, which includes publication year distribution, countries, research institutions, authors, keyword clustering, and citation network analysis, facilitating a comprehensive understanding of the field. This research aims to provide a comprehensive overview of international human-computer collaboration research from 1990 to November 2024, identifying current research hotspots and theoretical foundations and exploring new trends in line with current research focuses. This research trend will drive the field of human-computer collaboration to continue to evolve towards intelligence, user-orientation, efficiency and provides a wealth of research opportunities for closer human-computer collaboration.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100830"},"PeriodicalIF":12.7,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Twenty years of Nešetřil’s classification programme of Ramsey classes 20年的Nešetřil拉姆齐类分类计划

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-19 DOI: 10.1016/j.cosrev.2025.100814

Jan Hubička , Matěj Konečný

引用次数: 0

Understanding data spaces: A Systematic Mapping Study of foundations, technical building blocks, and sectoral adoption 理解数据空间：基础、技术构建块和部门采用的系统映射研究

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-17 DOI: 10.1016/j.cosrev.2025.100819

Anhelina Kovach , Leticia Montalvillo , Jorge Lanza , Pablo Sotres , Aitor Urbieta

{"title":"Understanding data spaces: A Systematic Mapping Study of foundations, technical building blocks, and sectoral adoption","authors":"Anhelina Kovach , Leticia Montalvillo , Jorge Lanza , Pablo Sotres , Aitor Urbieta","doi":"10.1016/j.cosrev.2025.100819","DOIUrl":"10.1016/j.cosrev.2025.100819","url":null,"abstract":"<div><div>Data spaces are emerging as a key paradigm for enabling sovereign, secure, and interoperable data sharing across sectors. Beyond data governance, they represent a transformation in communication architectures—where communication is no longer merely about establishing connections, but about <em>who is allowed to share what, under which conditions, and for what purpose</em>. Despite growing attention, the research landscape remains fragmented and under-synthesized. This paper presents a Systematic Mapping Study (SMS) of 149 peer-reviewed publications, analyzing the conceptual foundations, technical building blocks, and sectoral adoption of data spaces. Following established SMS methodologies, we classify the literature across key technical themes defined by the Data Spaces Support Centre (DSSC) and assess methodological maturity, technical novelty, and application domains. Our findings show that 46.3% of studies address data value creation enablers, 30.8% focus on data interoperability, and 22.9% explore data sovereignty. The study provides a structured synthesis of current research and offers guidance for advancing federated, trust-aware communication infrastructures.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100819"},"PeriodicalIF":12.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable AI for the diagnosis of neurodegenerative diseases: Unveiling methods, opportunities, and challenges 用于神经退行性疾病诊断的可解释人工智能：揭示方法、机遇和挑战

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-16 DOI: 10.1016/j.cosrev.2025.100821

Alden Jenish S , Karthik R , Suganthi K

{"title":"Explainable AI for the diagnosis of neurodegenerative diseases: Unveiling methods, opportunities, and challenges","authors":"Alden Jenish S , Karthik R , Suganthi K","doi":"10.1016/j.cosrev.2025.100821","DOIUrl":"10.1016/j.cosrev.2025.100821","url":null,"abstract":"<div><div>Artificial Intelligence (AI) has exhibited significant potential in diagnosis and operational efficiency across medical domains. Nevertheless, the opacity of the AI-driven diagnostic models creates a major roadblock to clinical deployment. Explainable Artificial Intelligence (XAI) techniques have emerged to improve physician trust and transparency in AI-based predictions by addressing interpretability and explainability. This review aims to explore and analyze recent advancements in XAI techniques applied to the diagnosis of Neurodegenerative Diseases (NDs). Based on their approaches toward interpretability, the included studies were categorized into model-agnostic and model-specific techniques. These interpretability techniques provide deeper insights into the factors influencing clinical diagnoses. The review examines various interpretative methods that enhance the transparency of AI-driven models, ensuring alignment with clinical decision-making. This summary reflects all major findings and critical analysis of the responses to the research questions posed. The next stage of analysis describes how XAI enhances model reliability and eases the clinical decision-making process. This review presents a cross-disease comparative evaluation of XAI techniques applied to major NDs such as Alzheimer’s Disease (AD), Parkinson’s Disease (PD), and Multiple Sclerosis (MS), offering a unified perspective on interpretability across modalities and disorders. This study explores existing approaches, highlights their strengths and limitations, and discusses future research directions in this domain.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100821"},"PeriodicalIF":12.7,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sequential recommender systems: A methodological taxonomy and research frontiers 顺序推荐系统：方法分类与研究前沿

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-15 DOI: 10.1016/j.cosrev.2025.100818

Yanbo Zhou , Gang-Feng Ma , Xilin Wen , Xu-Hua Yang , Yi-Cheng Zhang

{"title":"Sequential recommender systems: A methodological taxonomy and research frontiers","authors":"Yanbo Zhou , Gang-Feng Ma , Xilin Wen , Xu-Hua Yang , Yi-Cheng Zhang","doi":"10.1016/j.cosrev.2025.100818","DOIUrl":"10.1016/j.cosrev.2025.100818","url":null,"abstract":"<div><div>In the era of information overload, sequential recommender systems have emerged as pivotal tools for modeling user preferences through dynamic behavioral pattern mining. These systems transcend conventional recommendation paradigms by explicitly modeling temporal dependencies in user–item interactions, preference evolution, and contextual dynamics. This study presents a methodologically structured taxonomy of sequential recommender systems through four analytical dimensions: (1) Sequential Modeling, which includes methods ranging from statistical techniques to deep learning architectures to understand user behavior patterns; (2) Temporal Dynamics Modeling, which involves time-aware collaborative filtering and deep temporal modeling; (3) Network-Enhanced Modeling, which leverages graph neural networks, heterogeneous graphs, dynamic graphs, and hypergraphs to explore structural dependencies; and (4) Robust Representation Learning, which encompasses contrastive mechanisms and techniques driven by large language models (LLMs). These algorithms focus on different aspects of sequential recommendation, including but not limited to capturing dynamic interests, modeling long- and short-term preferences, and addressing issues such as data sparsity, noise, and bias, which affect the performance and user experience of recommender systems in practical applications. Furthermore, we summarize and discuss promising future research directions to provide theoretical and methodological insights. The constructed taxonomy not only organizes existing methodological innovations, but also reveals fundamental limitations in current evaluation protocols, providing a roadmap for advancing both theoretical foundations and practical applications in this domain.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100818"},"PeriodicalIF":12.7,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145061078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gender Diversity Interventions in Software Engineering: A Comprehensive Review of Existing Practices 软件工程中的性别多样性干预：对现有实践的全面回顾

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-12 DOI: 10.1016/j.cosrev.2025.100812

Claudia Maria Cutrupi , Letizia Jaccheri , Alexander Serebrenik

{"title":"Gender Diversity Interventions in Software Engineering: A Comprehensive Review of Existing Practices","authors":"Claudia Maria Cutrupi , Letizia Jaccheri , Alexander Serebrenik","doi":"10.1016/j.cosrev.2025.100812","DOIUrl":"10.1016/j.cosrev.2025.100812","url":null,"abstract":"<div><h3>Context:</h3><div>Over the years, the software engineering (SE) research community has examined the role of gender within the field, leading to numerous studies on the challenges faced by women and minorities. Despite this, there is a significant research gap on the effectiveness of various interventions designed to address these persistent challenges.</div></div><div><h3>Objective:</h3><div>This review analyzed the current state of interventions that address gender disparities in the SE context. The goal of the review is to understand the various interventions implemented in educational and industrial settings and to identify their impact on women and other targeted minorities.</div></div><div><h3>Methods:</h3><div>We conducted a systematic literature review, analyzing 33 studies that reported on interventions addressing gender disparities in SE.</div></div><div><h3>Results:</h3><div>We identified the most common interventions implemented over the years, the challenges they addressed, the organizations and target users involved, the specific actions proposed, the underlying theories, the research methodologies used, and the impact of these interventions.</div></div><div><h3>Conclusion:</h3><div>The findings revealed a lack of interventions that aim at retaining women in the SE field, with few programs investing in employees’ satisfaction with the work environment. The findings also show a lack of outreach programs to create meaningful connections with companies and provide support in finding job opportunities. Moreover, only one intervention incorporates long-term activities, and very few interventions build on a theoretical background.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100812"},"PeriodicalIF":12.7,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI based advances in diagnosis of chronic obstructive pulmonary disease: A systematic review 基于人工智能的慢性阻塞性肺疾病诊断进展综述

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-11 DOI: 10.1016/j.cosrev.2025.100820

Dhanashree Vipul Yevle , Palvinder Singh Mann , Dinesh Kumar

{"title":"AI based advances in diagnosis of chronic obstructive pulmonary disease: A systematic review","authors":"Dhanashree Vipul Yevle , Palvinder Singh Mann , Dinesh Kumar","doi":"10.1016/j.cosrev.2025.100820","DOIUrl":"10.1016/j.cosrev.2025.100820","url":null,"abstract":"<div><div>Chronic Obstructive Pulmonary Disease (COPD) is one of the major global health problems, and early detection plays a great role in improving outcomes for patients. Traditional methods of diagnosis are generally based on subjective interpretation, thus delaying diagnosis in many cases. Artificial Intelligence presents a disruptive opportunity, making the detection and classification of COPD possible with a variety of data types. This paper reviews the use of AI-based approaches in COPD diagnosis by using three primary types of datasets: text data, such as clinical notes and electronic health records; audio data, including lung sounds, cough signals, and so on; and image data from chest X-rays and CT scans. Discussing the use of deep learning techniques, specifically CNNs, in analyzing images, we identify how these networks can successfully classify COPD cases along with the level of severity. The potential of AI models in COPD diagnostics is very promising, though there are areas of challenges like data standardization, model generalizability, and interpretability. This review emphasizes the AI potential for COPD diagnostics revolution and outlines future research directions: integration of multi-modal data and advancements in model transparency to support clinical adoption.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100820"},"PeriodicalIF":12.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum artificial intelligence: A survey 量子人工智能：综述

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-10 DOI: 10.1016/j.cosrev.2025.100807

Giovanni Acampora, Angela Chiatto, Roberto Schiattarella, Autilia Vitiello

引用次数: 0

Homomorphic cryptography: Challenges and perspectives 同态密码学：挑战与展望

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-07 DOI: 10.1016/j.cosrev.2025.100815

Khalil Hariss , Jean Paul A. Yaacoub , Hassan N. Noura

{"title":"Homomorphic cryptography: Challenges and perspectives","authors":"Khalil Hariss , Jean Paul A. Yaacoub , Hassan N. Noura","doi":"10.1016/j.cosrev.2025.100815","DOIUrl":"10.1016/j.cosrev.2025.100815","url":null,"abstract":"<div><div>The study proposes practical recommendations and future directions to improve HE’s relevance in the real world, especially in healthcare, digital forensics, Machine Learning (ML), and smart infrastructure. The primary product of this study is a cohesive framework that unifies mathematical foundations with real-world applications to direct the implementation and development of Homomorphic Cryptography (HC) in privacy-preserving computing. Homomorphic Encryption (HE), which is an innovative cryptographic technique, protects confidentiality, integrity, and authenticity in untrusted computing environments such as cloud infrastructure and Internet of Things (IoT) ecosystems by allowing computations on encrypted data without the need for decryption. The present study provides an in-depth investigation of HC, identifying symmetric and asymmetric methods and assigning them to the appropriate security services. The mathematical complexities of well-known HE algorithms like BGV, BFV, DGHV, and CKKS are further explained, and experimental performance evaluations are provided using the Python-SEAL and Microsoft SEAL libraries. The paper examines contemporary attacks and defences while highlighting significant drawbacks, such as computational cost and security flaws.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100815"},"PeriodicalIF":12.7,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chaos-based video encryption techniques: A review 基于混沌的视频加密技术综述

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2025-09-03 DOI: 10.1016/j.cosrev.2025.100816

Suo Gao , Rui Wu , Herbert Ho-Ching Iu , Ugur Erkan , Yinghong Cao , Qi Li , Abdurrahim Toktas , Jun Mou

{"title":"Chaos-based video encryption techniques: A review","authors":"Suo Gao , Rui Wu , Herbert Ho-Ching Iu , Ugur Erkan , Yinghong Cao , Qi Li , Abdurrahim Toktas , Jun Mou","doi":"10.1016/j.cosrev.2025.100816","DOIUrl":"10.1016/j.cosrev.2025.100816","url":null,"abstract":"<div><div>Chaos theory, as a powerful tool for studying the nonlinear behavior of dynamic systems, has shown great potential in the field of cryptography. Leveraging the high sensitivity of chaotic systems to initial conditions and their complex dynamic characteristics, chaos-based encryption methods offer enhanced security and unpredictability in the processes of data encryption and decryption. Amid the growing demand for information security, traditional encryption methods face significant challenges, particularly in terms of resistance to attacks and the randomness of key generation. The integration of chaos theory provides new solutions to these challenges. This paper provides a comprehensive review of chaos-based video encryption techniques. First, a mathematical model for video encryption is established, and the strengths and limitations of conventional encryption algorithms when applied to video data are analyzed. Next, we explored the unique role of the complexity and randomness of chaotic systems in encryption design and their impact on enhancing video transmission and storage security. The study then classifies the most common chaos systems and conducts an integrated evaluation of their performance metrics, offering theoretical guidance for selecting suitable chaos systems in video encryption. Building on this foundation, existing chaos-based video encryption algorithms are systematically categorized and reviewed, with their design methodologies and evaluation criteria summarized. Finally, the paper outlines future research directions for chaos-based video encryption and discusses its application potential in intelligent surveillance, medical imaging, military communications, and other fields.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"58 ","pages":"Article 100816"},"PeriodicalIF":12.7,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0