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ORCIDFrontiers in Big Data, Volume 8
Volume 8, 2025
- Waleed Albattah, Rehan Ullah Khan:
Impact of imbalanced features on large datasets. - Huanjing Liu
, Xiao Zhang, Qian Liu:
A review of AI-based radiogenomics in neurodegenerative disease. - Meron Asmamaw Alemayehu, Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo, Ermias Bekele Enyew, Jibril Bashir Adem:
A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa. - Federico Colecchia, Daniele Giunchi, Rui Qin, Eleonora Ceccaldi, Fang Wang:
Editorial: Machine learning and immersive technologies for user-centered digital healthcare innovation. - Yonis Gulzar, Shivani Agarwal, Saira Soomro, Meenakshi Kandpal, Sherzod Turaev, Wou Onn Choo, Shilpa Saini, Abdenour Bounsiar:
Next-generation approach to skin disorder prediction employing hybrid deep transfer learning. - Yves Rybarczyk, Rasa Zalakeviciute, Marija Ereminaite, Ivana Costa-Stolz:
Causal effect of PM2.5 on the urban heat island. - Sandio Maciel Dos Santos, Marcelino Silva da Silva, Fábio Manoel França Lobato, Carlos Renato Lisboa Francês:
Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022. - Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Eugenio Vocaturo:
Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection. - Razvan Rughinis, Simona Nicoleta Vulpe, Dinu Turcanu, Daniel Rosner:
Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection. - Houdie Tu, Lei Li, Zhenchao Tao, Zan Zhang:
Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph. - Jorge Raul Navarro-Cabrera, Miguel Angel Valles-Coral, María Elena Farro-Roque, Nelly Reátegui-Lozano, Lolita Arévalo-Fasanando:
Machine vision model using nail images for non-invasive detection of iron deficiency anemia in university students. - Allison Reinsvold Hall, Nicole Skidmore, Gabriele Benelli, Ben Carlson, Claire David, Jonathan Davies, Wouter Deconinck, David Demuth, Peter Elmer, Rocky Bala Garg, Stephan Hageböck, Killian Lieret, Valeriia Lukashenko, Sudhir Malik, Andy Morris, Heidi Schellman, Graeme A. Stewart, Jason Veatch, Michel Hernández Villanueva:
Training and onboarding initiatives in high energy physics experiments. - Muhammad Arshad, Wou Onn Choo, Ashfaq Ahmad, Goabaone Mogwe:
Big data analytics and AI as success factors for online video streaming platforms. - Yigao Wang, Qingxian Tang, Wenxuan Wei, Chenhui Yang, Dingqi Yang, Cheng Wang, Liang Xu, Longbiao Chen:
CrowdRadar: a mobile crowdsensing framework for urban traffic green travel safety risk assessment. - Asma'A Al-Mnayyis, Hasan Gharaibeh, Mohammad Amin, Duha Anakreh, Hanan Fawaz Akhdar, Eman Hussein Alshdaifat, Khalid M. O. Nahar, Ahmad Nasayreh, Mohammad A. Gharaibeh, Neda'a Alsalman, Alaa Alomar, Maha Gharaibeh, Hamad Yahia Abu Mhanna:
(KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network. - Florian Windhager, Steffen Koch, Sander Münster, Eva Mayr:
Editorial: Visualizing big culture and history data. - Alfred Krzywicki, Michael Bain, Wayne Wobcke:
Editorial: Natural language processing for recommender systems. - Erratum: Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph.
- Suresh Neethirajan:
Safeguarding digital livestock farming - a comprehensive cybersecurity roadmap for dairy and poultry industries. - Masoud A. Rostami, Lemaur Kydd, Behnaz Balmaki, Lee A. Dyer, Julie M. Allen:
Deep learning for accurate classification of conifer pollen grains: enhancing species identification in palynology. - Houdie Tu, Lei Li, Zhenchao Tao, Zan Zhang:
Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph. - Guo Zhang:
Cloud computing convergence: integrating computer applications and information management for enhanced efficiency. - Francesco Bertolotti, Niccolò Kadera, Luca Pasquino, Luca Mari:
An epidemiological extension of the El Farol Bar problem. - Mehmet Selman Baysan, Serkan Uysal, Irem Islek, Çagla Çig Karaman, Tunga Güngör:
LLM-as-a-Judge: automated evaluation of search query parsing using large language models. - Karl Vachuska:
Urban mobility and crime: causal inference using street closures as an instrumental variable. - Keke Zhang, Mingyu Guan, Chao Wu, Yutong Li, Qingguo Lü, Yi Liu, Yi Wang, Wei Wang, Wei Zhang:
Deep learning-enabled hybrid systems for accurate recognition of text in seal images. - Fatema-E. Jannat, Sina Gholami, Minhaj Nur Alam, Hamed Tabkhi:
OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection. - Xiaobin Liang, Yonghong Deng, Yibin Wang, Hongtao Li, Weifeng Ma, Ke Wang, Junjie Ren, Ruijiao Ma, Shuai Zhang, Jiawei Liu, Wei Wu:
Intelligent leak monitoring of oil pipeline based on distributed temperature and vibration fiber signals. - Zeena Kailani, Lauren Kim, Joshua Bierbrier, Michael Balas, David J. Mathew:
Artificial intelligence for surgical outcome prediction in glaucoma: a systematic review. - Afraa Attiah, Manal Kalkatawi:
AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization. - Mohamed Abd Elaziz, Ibrahim Ahmed Fares, Abdelghani Dahou, Mansour Shrahili:
Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization. - Hussam Ghanem, Christophe Cruz:
Fine-tuning or prompting on LLMs: evaluating knowledge graph construction task. - Bela Shrimali, Jenil Gajjar, Swapnoneel Roy, Sanjay Patel, Kanu Patel, Ramesh Ram Naik:
EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare. - R. Sabitha, D. Sundar:
A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image. - Qaiser Abbas, Waqas Nawaz, Sadia Niazi, Muhammad Awais:
ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution. - Hossein Hassani, Mohammad Reza Entezarian, Sara Zaeimzadeh, Leila Marvian Mashhad, Nadejda Komendantova:
An oversampling-undersampling strategy for large-scale data linkage. - Stan Kachnowski, Asif H. Khan, Shadé Floquet, Kendal K. Whitlock, Juan Pablo Wisnivesky, Daniel B. Neill, Irene Dankwa-Mullan, Gezzer Ortega, Moataz Daoud, Raza Zaheer, Maia Hightower, Paul Rowe:
Achieving health equity in immune disease: leveraging big data and artificial intelligence in an evolving health system landscape. - Muhammad Nauman, Hafiz Muhammad Usman Akhtar, Huseyn Gorbani, Muhammad Hadi Ul Hassan, Muhammad A. B. Fayyaz:
Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. - Alexander Grote, Anuja Hariharan, Christof Weinhardt:
Finding the needle in the haystack - An interpretable sequential pattern mining method for classification problems. - Lars Leyendecker, Anna Louisa Weltin, Florian Nienhaus, Michaela Matthey, Bastian Nießing, Daniela Wenzel, Robert H. Schmitt:
Deep learning based automation of mean linear intercept quantification in COPD research. - Nida Nasir, Hussam M. N. Al Hamadi:
Towards the neuromorphic Cyber-Twin: an architecture for cognitive defense in digital twin ecosystems. - Patchanok Srisuradetchai:
Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification. - Amar Ahmad, Yvonne Vallès, Youssef Idaghdour:
Bias in AI systems: integrating formal and socio-technical approaches. - Nesrin Alkan, Deniz Ersan Yilmaz, Bilal Baris Alkan:
Conceptualization and scale development for big data-based learning organization capability. - Yukino Terui, Yuka Inoue, Yohei Hamakawa, Kosuke Tatsumura, Kazue Kudo:
Collaborative filtering based on nonnegative/binary matrix factorization. - R. Parvathi, V. Pattabiraman, Nancy Saxena, Aakarsh Mishra, Utkarsh Mishra, Ansh Pandey:
Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery. - Stephanie Ness:
Robust detection framework for adversarial threats in Autonomous Vehicle Platooning. - Urvashi Khekare, I. S. Rajay Vedaraj:
Adaptive deep Q-networks for accurate electric vehicle range estimation. - Kexin Ning, Qingguo Lü, Xiaofeng Liao:
M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. - Jianxin Li, Ruchun Jia, Ning Xiang, Yizhun Tian:
Research on fault-tolerant decision algorithm for data security automation. - Mingyu Zhu, Jun Long:
Detecting anti-forensic deepfakes with identity-aware multi-branch networks. - K. Jyothi Upadhya, Ronan Lobo, Mini Shail Chhabra, Aman Paleja, B. Dinesh Rao, M. Geetha, Prachi Sisodia, Bolusani Akshita Reddy:
Sliding window based rare partial periodic pattern mining algorithms over temporal data streams. - Francisco Carlos Paletta, Audilio Gonzalez Aguilar, Lise Verlaet:
Data visualization of complex research systems aligned with the sustainable development goals. - Chi Thi Lan Pham, Quyen Thi Tu Bui, Anh Ha Le, Long Quynh Khuong:
Unequal access in a digital age: women's digital exclusion and socioeconomic inequalities in Vietnam. - Ahmad Nasayreh, Hasan Gharaibeh, Rula Al-Qawabah, Azza Gharaibeh, Bayan Altalla', Iyad Sultan:
Improving early liver metastasis detection in colorectal cancer using a weighted ensemble of ResNet50 and swin transformer: a KHCC study. - Varad Bhandarkawthekar, T. M. Navamani, Rishabh Sharma, K. Shyamala:
Design and development of an efficient RLNet prediction model for deepfake video detection. - Johnson Mulongo Masinde, Frankline Mugambi, Daniel Muthee Wambiri:
Big data and personal information privacy in developing countries: insights from Kenya. - Mayuri Kate, Suresh Neethirajan:
Big data approaches to bovine bioacoustics: a FAIR-compliant dataset and scalable ML framework for precision livestock welfare. - Lucas Wafula Wekesa, Stephen Korir:
Enhancing intelligence source performance management through two-stage stochastic programming and machine learning techniques. - A. H. M. Shahariar Parvez, Md. Samiul Islam, Fahmid Al Farid, Tashida Yeasmin, Md. Monirul Islam, Md. Shafiul Azam, Jia Uddin, Hezerul Abdul Karim:
Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis. - Miguel Angel Valles-Coral, Lloy Pinedo, Ciro Rodríguez, Diego Rodríguez, Keller Sánchez-Dávila, Lolita Arévalo-Fasanando, Nelly Reátegui-Lozano:
Application of artificial intelligence in cervical cytology: a systematic review of deep learning models, datasets, and reported metrics. - Steve Nwaiwu:
Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA3, and ReFT. - Shoichiro Inokuchi, Takumi Tajima:
Integrated analysis for drug repositioning in migraine using genetic evidence and claims database. - Zahroh Shaluhiyah, Shabrina Arifia Qatrannada, Roshan Kumar Mahato, Farid Agushybana, Sri Handayani, Dzul Fahmi Afriyanto, Usha Rani, Dewie Sulistyorini:
Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression. - Qian Xie, Junsheng Yan, Zhenhua Dai, Wengang Du, Xuefei Wu:
Study on coal and gas outburst prediction technology based on multi-model fusion. - Willy Valdivia Granda:
Structure and dynamics mapping of illicit firearms trafficking using artificial intelligence models. - Tarak Hussain, B. Tirapathi Reddy, Kondaveti Phanindra, Sailaja Terumalasetti, Ghufran Ahmad Khan:
Decoding deception: state-of-the-art approaches to deep fake detection. - Hongman Wang, Yifan Song, Hua Bi:
Optimizing public health management with predictive analytics: leveraging the power of random forest. - Gabriella Waters, Phillip Honenberger:
AI biases as asymmetries: a review to guide practice. - Baqer M. Merzah, Jafar Razmara, Zolfaghar Salmanian:
Hybrid deep learning models for fake news detection: case study on Arabic and English languages. - Peter Müllner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald:
Multistakeholder fairness in tourism: what can algorithms learn from tourism management? - Jiandong Si, Chang Liu, Jingxian Ye, Jianfeng Wu, Jianguo Wang, Kairui Hu, Chunhua Ju, Qianwen Cao:
Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment. - Thijs Veugen, Gabriele Spini, Frank Muller:
Secure aggregation of sufficiently many private inputs. - Hikmat Ullah Khan, Anam Naz, Fawaz Khaled Alarfaj, Naif Almusallam:
Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach. - Harmehr Sekhon, Farid Al Zoubi, Paul E. Beaulé, Pascal Fallavollita:
FAST - framework for AI-based surgical transformation. - Immanuel Azaad Moonesar, M. V. Manoj Kumar, Khulood Alsayegh, Ayat Abu-Agla, Likewin Thomas:
Editorial: Navigating the nexus of big data, AI, and public health: transformations, triumphs, and trials in multiple sclerosis care access. - Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu:
Domain-independent deception: a new taxonomy and linguistic analysis. - Sam Martin, Maya Janse Van Rensburg, Huong Thien Le, Charlie Firth, Abinaya Chandrasekar, Sigrún Eyrúnardóttir Clark, Samantha Vanderslott, Cecilia Vindrola-Padros, Norha Vera San Juan:
LISTEN: lived experiences of Long COVID: a social media analysis of mental health and supplement use. - Roberto Interdonato, Hocine Cherifi:
Editorial: Interdisciplinary approaches to complex systems: highlights from FRCCS 2023/24. - M. S. Pavithran, S. M. Vadivel:
Explainable attrition risk scoring for managerial retention decisions in human resource analytics. - Xiaoxiao Du, Haomiao Yu, Hao Zhang, Xiangyun Liu, Xinling Yu, Tao Xie, Wenli Diao:
Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province. - Yves Rybarczyk, Niralkumar Hemantbhai Dave, Tobias Isaac Tapia-Flores, Rasa Zalakeviciute:
Inferring causal interplay between air pollution and meteorology. - Yoann Bertrand, Karima Boudaoud, Michel Riveill:
What Do You Think About Your Company's Leaks? A Survey on End-Users Perception Toward Data Leakage Mechanisms. - Janis Kampars, Guntis Mosans, Tushar Jogi, Franz Roters, Napat Vajragupta:
LLM-supported collaborative ontology design for data and knowledge management platforms. - Emanuel N. Casmiry, Neema Mduma, Ramadhani Saidi Sinde:
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers. - Anastasia Pamova, Yuriy A. Vasilev, Tatiana Bobrovskaya, Anton V. Vladzimirskyy, Olga V. Omelyanskaya, Kirill Arzamasov:
Implementation of a net benefit parameter in ROC curve decision thresholds for AI-powered mammography screening. - Liliana Ortega-Diaz, Julian Jaramillo-Ibarra, German Osma-Pinto:
Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate. - Qianlan Chen, Chupeng Chen, Zubai Jiang, Chaoling Li, Yangxizi Tan, Niannian Li, Bolin Zhou, Bingxian Yang:
Research on optimization of personalized recommendation method based on RFMQ model - taking outdoor sports products in cross-border e-commerce as an example. - Yonggang Deng, Xiaojing Zhou, Zixuan Feng, Xin Li, Hui Li:
Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors. - Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi:
Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications. - Changsheng Ma, Ruchun Jia, Jing Lou, Mingqian Wang:
Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption. - Paolo Parigi, Kinga Makovi:
Editorial: Applied computational social sciences. - Jie Su, Yuechao Tang, Yanan Wang, Chao Chen, Biao Song:
Predicting deep vein thrombosis using machine learning and blood routine analysis. - Yunhong Bu, Tingshan Yao, Shaowu Geng, Renjie Huang:
PHTFNet-RPM: a probabilistic hybrid network with RPM for tobacco root disease forecasting. - Na Wang, Weijia Zhang, Raja Kamil, Ian Renner, Syed Abdul Rahman Al-Haddad, Normala Ibrahim, Zhen Zhao:
Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representations. - Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank:
Toward more realistic career path prediction: evaluation and methods. - Yves Philippe Rybarczyk:
Editorial: Air quality and biosphere-atmosphere interactions. - Ashikur Rahman, Fahmid Al Farid, Mohammad Abul Bashar, Jia Uddin, Arif Mahmud, Hezerul Abdul Karim:
Examining the influence of deterrent and enhancement factors on QR-code mobile payment continuance intention: insights from PLS-SEM and IPMA analysis. - Hanxin Lu, Xinyan Cheng, Jun Xiong:
The global burden of adverse effects of medical treatment: a 30-year socio-demographic and geographic analysis using GBD 2021 data. - Lerina Aversano, Martina Iammarino, Antonella Madau, Fabiano Pecorelli:
Time series forecasting for bug resolution using machine learning and deep learning models. - Shanmin Yang, Hui Guo, Shu Hu, Bin B. Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang:
CrossDF: improving cross-domain deepfake detection with deep information decomposition. - Salma A. Mahmood, Asaad A. Khalaf, Saad S. Hamadi:
Basrah Score: a novel machine learning-based score for differentiating iron deficiency anemia and beta thalassemia trait using RBC indices. - Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex:
The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models. - Jenisha Rachel, Ezhilmaran Devarasan:
Robust contactless fingerprint authentication using dolphin optimization and SVM hybridization.
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last updated on 2026-03-28 22:46 CET by the dblp team
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