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Expert Systems - The Journal of Knowledge Engineering, Volume 42
Volume 42, Number 1, January 2025
Review
- Mariana Coelho, Martin Cerný
, João Manuel R. S. Tavares:
Deep learning methods to detect Alzheimer's disease from MRI: A systematic review. - Anuradha Dahiya, Sukhdip Singh, Gulshan Shrivastava
Android malware analysis and detection: A systematic review.
Original Article
- Shanza Rasham, Habib Ullah Khan
Structured knowledge creation for Urdu language: A DBpedia approach. - Maria-Alexandra Paun, Mihai-Virgil Nichita, Vladimir-Alexandru Paun, Viorel Puiu Paun
Fifth-generation fractal antenna design based on the Koch Snowflake geometry. A fractal theory application. - Fahad Maqbool
Graph colouring using evolutionary computation: A case study of blind naked mole-rat algorithm. - Varun Ganjigunte Prakash
Video-based real-time assessment and diagnosis of autism spectrum disorder using deep neural networks. - Gousia Habib
Compressed lightweight deep learning models for resource-constrained Internet of things devices in the healthcare sector. - Aparna Gopalakrishnan, Narayan P. Kulkarni, Chethan B. Raghavendra, Raghavendra Manjappa, Prasad B. Honnavalli, Sivaraman Eswaran
PriMed: Private federated training and encrypted inference on medical images in healthcare. - Majed S. Balalaa, Anouar Ben Mabrouk
A wavelet multifractal model for quality of life index measuring during pandemics and crises. - Selim Reza
A citywide TD-learning based intelligent traffic signal control for autonomous vehicles: Performance evaluation using SUMO. - José Machado, Carla Rodrigues, Regina Sousa
Drug-drug interaction extraction-based system: An natural language processing approach. - Divager Balasubramaniyan
Flock optimization induced deep learning for improved diabetes disease classification. - Sarhang Salahadin Saleh
The role of transformational leadership in enhancing competitive advantage for E-business analysis in organisational practices. - Sabrine Arfaoui
Robustness and sensitivity of some wavelet multifractal models in fractal data modelling. - Maragoni Mahendar, Arun Malik
Emotion estimation model for cognitive state analysis of learners in online education using deep learning. - Madala Guru Brahmam
MBRSDTC: Design of a multimodal bioinspired model to improve resource scheduling efficiency with differential task-level constraints. - Belhassen Akrout
Deep facial emotion recognition model using optimal feature extraction and dual-attention residual U-Net classifier. - Sagnik Sarkar, Shaashwat Agrawal, Aditi Chowdhuri
Progressive search personalization and privacy protection using federated learning. - Joshua Samual, Masnida Hussin
Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre. - Felipe Buitrago, Luis Fernando Castillo Ossa
Automatic detection surface defects based on convolutional neural networks and deflectometry. - Nuha Qais Abdulmajeed, Belal Al-Khateeb
Voice pathology identification system using a deep learning approach based on unique feature selection sets. - Allan Messeder Caldas Bretas
Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning. - Bàrbara Llacay, Gilbert Peffer:
Categorical surrogation of agent-based models: A comparative study of machine learning classifiers. - Dalila Durães, Flávio Arthur O. Santos, Francisco Supino Marcondes
Applying multisensor in-car situations to detect violence. - Zichen Wu, Jingyi He
The prediction of two-dimensional intelligent ocean temperature based on deep learning. - Haitao Hu, Piercarlo Cattani, Shuli Mei
Hermite-Shannon-Cosine spectral method for fractional partial differential equations. - Vishwanath Madhava Shervegar
A robust sliding window adaptive filtering technique for phonocardiogram signal denoising. - Huosong Xia, Yaqi Tian, Justin Zuopeng Zhang
Exploring the impact of online news sentiment and relevance on stock market risks: A signalling theory perspective. - Borja Bordel
Interferenceless coexistence of 6G networks and scientific instruments in the Ka-band. - Jun Ju
Model-based offline reinforcement learning for sustainable fishery management. - S. Nagarajan, P. Shobha Rani, M. S. Vinmathi
Multi agent deep reinforcement learning for resource allocation in container-based clouds environments. - Xiaotong Wu, Jiaquan Gao, Muhammad Bilal, Fei Dai, Xiaolong Xu, Lianyong Qi, Wanchun Dou:
Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things. - Yanzhe Ma
Deep learning-based image processing for financial audit risk quantification in healthcare. - R. Mythili
Radial basis function networks with lightweight multiscale fusion strategy-based underwater image enhancement. - J. Syed Nizamudeen Ahmed
Deep learning techniques on 3D-MRI lung images for detection and segmentation of COVID-19 virus. - Ali Alqahtani, Nayef Alqahtani, Abdulaziz A. Alsulami, Stephen Ojo, Prashant Kumar Shukla
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum. - Bhagyashri Devi
Facial emotion recognition using convolutional neural network based krill head optimisation. - Fábio Caiado, Joana Fonseca, Joana Silva, Soraia Neves, Ana Moreira
The impact of digital influencers on product/service purchase decision making - An exploratory case study of Portuguese people. - Okan Buyuktepe
Food fraud detection using explainable artificial intelligence. - Suvarna Joshi, Stephen Ojo
Object detection and classification from compressed video streams. - Kapil Aggarwal, Bui Thanh Khoa
Marketing information system based on unsupervised visual data to manage transportation industry using signal processing. - Mamoune Benaida
Deep learning based one step and multi-steps ahead forecasting blood glucose level. - Yibo Wang, Meng Xi
Intelligent path planning algorithm of Autonomous Underwater Vehicle based on vision under ocean current. - Thanh Manh Le, Nguyen Thi Dinh, Thanh The Van:
Developing a model semantic-based image retrieval by combining KD-Tree structure with ontology. - Hasnae Zerouaoui
DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - R. Thilagavathy, J. Jagadeesan, A. Parkavi
Digital transformation in healthcare using eagle perching optimizer with deep learning model. - Mahesh Boddu
VLSI implementation of image compressor using probabilistic run length coding. - Aaishwarya Khalane, Rikesh Makwana, Talal Shaikh
Evaluating significant features in context-aware multimodal emotion recognition with XAI methods. - Qi Yang, Songhu Liu, Tianzhuo Gong
Improve the application of reinforcement learning and multi-modal information in music sentiment analysis. - Azath Mubarakali, A. Shobanadevi
Advancements in business processes to improve business marketing processes through advanced signal processing. - Jing Nie, Jiachen Jiang, Yang Li
Data and domain knowledge dual-driven artificial intelligence: Survey, applications, and challenges. - Saurabh Agarwal
CXRNet: CNN-attention based CXR image classifier. - S. Sreelakshmi
A deep convolutional neural network model for medical data classification from computed tomography images. - Guiling Song
A method of automatic field of view generation and path planning for automated x-ray inspection. - Dongxia Zheng
Pose recognition of dancing images using fuzzy deep learning technique in an IoT environment. - Bahareh Amirshahi, Salim Lahmiri
Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning. - Ahmed Alkhayyat, Ali Mahdi Zalzala, Asaad A. M. AL-Salih, Anwar Ja'afar Mohamad Jawad, Wameedh Riyadh Abdul Adheem, Jamshed Iqbal, Ibraheem Kasim Ibraheem
A novel class of adaptive observers for dynamic nonlinear uncertain systems. - Antonio Bruno
Efficient adaptive ensembling for image classification. - Fuxian Ning, Jiahui Jin
Risk analysis of China's financial market collapse based on cloud computing and machine learning algorithms. - Vivekanandan Dharmalingam
Effective dehazing of night-time images using open dark channel prior and wavelet transform. - Jinjing Chi
Speech recognition and artificial intelligence based on the development of music system. - Marinko Skare
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions. - Huinan Liu
A study on how social media influences on impulsive buying. - Weiguang Liu, Abdulmajeed Alqhatani, Fatima Asiri, Ely Salwana:
Customer preference analysis towards online shopping decisions based on optimized feature extraction. - Zheng Xu
An empirical study of blockchain-based models of interest margin of secondary capital bond issuance in the internet of things environment. - Himanshu Kumar Singh
Secure transmission of ocean images using deep learning-based data hiding. - Meng Liu, Zhao Min, Li Li, Piercarlo Cattani, Shuli Mei
Shannon-Cosine wavelet precision integration method for image enhancement based on fractional partial differential equations. - Ashwani Kumar Dubey
Deep learning based identification of aquatic and semi aquatic plants. - Wenli Shan
Optimal pricing strategies and decision-making systems in e-commerce using integrated fuzzy multi-criteria method. - Muhammad Farman, Ali Akgül, Harish Garg
Mathematical analysis and dynamical transmission of monkeypox virus model with fractional operator. - Mengrui Zhu
Exploration and practice of data thinking in the application of E-Commerce art design course under the background of big data. - Martin Fyvie
Towards explainable metaheuristics: Feature extraction from trajectory mining. - C. Thangaraj, D. Easwaramoorthy
Fractal based automatic detection of complexity in COVID-19 X-ray images. - Jian Pi
Electronic music composition thinking using visual learning and visual sensing technology. - Alexandru Capatina
Knowledge maps for large-scale group decision making in social media content analysis. - Jesús Ángel Román Gallego, María Luisa Pérez-Delgado, Marcos Luengo Viñuela, María-Concepción Vega-Hernández:
Artificial Intelligence Web Application Firewall for advanced detection of web injection attacks. - Arslan Naseer, Muhammad Muheet Khan, Fahim Arif, Waseem Iqbal
An improved hybrid model for cardiovascular disease detection using machine learning in IoT. - Carlos Fernandez-Basso
An AI knowledge-based system for police assistance in crime investigation. - Momina Meer, Muhammad Attique Khan, Kiran Jabeen, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images. - Shuang Guo
IETAFusion: An illumination enhancement and target-aware infrared and visible image fusion network for security system of smart city. - Shitharth Selvarajan, Achyut Shankar, Mueen Uddin, Abdullah Saleh Alqahtani, Taher Al-Shehari, Wattana Viriyasitavat:
A smart decentralized identifiable distributed ledger technology-based blockchain (DIDLT-BC) model for cloud-IoT security. - Jeferson Arango-López
Cloud-based deep learning architecture for DDoS cyber attack prediction. - Chao Hua
Spatial coordination and industrial pollution of urban agglomerations: Evidence from the Yellow River Basin in China. - Collins Ogundipe
Adaptive solution to transfer learning of neural network controllers from earth to space environments. - Philippe Chassy
Evolution of confrontation and cooperation in simple organisms as a function of environmental resources and cost of a conflict. - Shtwai Alsubai, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait, Yasser Adnan Abu Jaish, Bader Hussain Alamer, Hussam Eldin Hussein Saad, Rashid Ayub
Enhanced slime mould optimization with convolutional BLSTM autoencoder based malware classification in intelligent systems. - Andrea Vázquez-Ingelmo, Alicia García-Holgado
A new frontier in dashboard design: Evaluating an innovative meta-modelling approach through expert insights. - Jairo Ivan Vélez Bedoya, Manuel González Bedia
Exploring deep learning techniques for illuminance estimation. - Manu Kohli
Stakeholder perception towards a machine-learning-based digital platform for detection and management of autism spectrum disorder. - Yuhuan Kong
Preventing and mitigating risks of rumours during major pandemics in the era of artificial intelligence: A perspective on vulnerability. - Hamad Naeem
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization. - Anbar Hussain, Wajid Ali, Awais Ahmad
Enhancing COVID-19 misinformation detection through novel attention mechanisms in NLP. - Ramesh Kait, Sarbjit Kaur, Purushottam Sharma
Fuzzy logic-based trusted routing protocol using vehicular cloud networks for smart cities. - Junlin Qiu
An enhanced method for surface defect detection in workpieces based on improved MobileNetV2-SSD. - Dipika Jain, Akshi Kumar:
AI unveiled personalities: Profiling optimistic and pessimistic attitudes in Hindi dataset using transformer-based models. - Pinki, Rakesh Kumar, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman
Artificial intelligence-enabled smart city management using multi-objective optimization strategies. - Jing Liang, Yan Gong
Security and privacy protection protocol based on edge computing in smart campus. - Khalid Haseeb
AI-driven IoT-fog analytics interactive smart system with data protection. - José Alejandro Mosquera Asimbaya, Gabriel M. Ramirez
Advancing democratic processes in Ecuador: A case study on neural network-driven OCR for election report verification. - Mohanad R. Aljanabi
Integrating singular value decomposition with deep learning for enhanced travel time estimation in multimodal freight transportation networks. - Xiaohong Liu, Chengzhen Xu, Yinghao Pan
Data-driven allocation of renewables quota among regional power industries under the policy of renewable electricity standard. - Sami J. Habib
Extracting the explore-exploit intelligence of Physarum to manage the sustainability of an enterprise network. - Shynar Mussiraliyeva, Milana Bolatbek, Gulshat Baispay:
Investigating long short-term memory approach for extremist messages detection in Kazakh language. - Fakhri Alam Khan
Cloud-based provenance framework for duplicates identification and data quality enhancement. - Uday Mittal, Shivam Goyal, Egna Praneeth Gummana, Vinay Chamola
FoodBlock: A secure and cost-optimal framework for online food ordering using blockchain. - Chi Ho Lau, Sammy Chan
Comparison on resilience and energy efficiency of authentication schemes in IoT networks. - Fancy Chelladurai
Modelling of healthcare data analytics using optimal machine learning model in big data environment. - Gintautas Dzemyda
Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection. - Shumaila Khan
A novel transformer attention-based approach for sarcasm detection. - Limin Zhang
Prediction of Liaoning province steel import and export trade based on deep learning models. - Chao Zhong, Pengjun Li, Jinlong Wang, Xiaoyun Xiong, Zhihan Lv, Xiaochen Zhou, Qixin Zhao:
Enterprise violation risk deduction combining generative AI and event evolution graph. - Ke Meng
Blockchain-enabled decentralized service selection for QoS-aware cloud manufacturing. - Madallah Alruwaili, Muhammad Hameed Siddiqi
Advancing Disability Healthcare Solutions Through Privacy-Preserving Federated Learning With Theme Framework. - Mohammed Salem Atoum, Ala Abdulsalam Alarood
Predictive Analysis of Global Terrorist Attacks Using Lexical Patterns Across Multiple Datasets.
Survey Article
- Alejandro Platas-López
A survey on agent-based modelling assisted by machine learning. - Fátima Leal, Bruno Veloso, Benedita Malheiro
Towards adaptive and transparent tourism recommendations: A survey.
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