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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 41
Volume 41, Number 1, January 2024
REVIEW
- Monika Sharma
, Ajay Kaul:
A review of detecting malware in android devices based on machine learning techniques.
ORIGINAL ARTICLES
- Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, Leonardo Ramos Rodrigues, Diego Oliva:
An improved binary grey wolf optimizer for constrained engineering design problems. - Abdellah El Zaar, Nabil Benaya, Toufik Bakir, Amine Mansouri, Abderrahim El Allati:
Prediction of US 30-years-treasury-bonds movement and trading entry point using the robust 1DCNN-BiLSTM-XGBoost algorithm. - Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang, Victor Chang:
CogNLG: Cognitive graph for KG-to-text generation. - Muhidin Mohamed, Mourad Oussalah, Victor Chang:
SDbQfSum: Query-focused summarization framework based on diversity and text semantic analysis. - Zubaida Rehman, Noshina Tariq, Syed Atif Moqurrab, Joon Yoo, Gautam Srivastava:
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues. - Haji Gul, Feras N. Al-Obeidat, Adnan Amin, Fernando Moreira:
Analyzing complex networks: Extracting key characteristics and measuring structural similarities. - Priya Mathur, Amit Kumar Gupta, Deepak Panwar, Tarun Kumar Sharma:
Soft computing approaches for prediction of specific heat capacity of hybrid nanofluids. - Sumit Singh Dhanda, Brahmjit Singh, Poonam Jindal, Tarun Kumar Sharma, Deepak Panwar:
6G-enabled internet of medical things. - Kunal Chaturvedi, Chhavi Dhiman, Dinesh Kumar Vishwakarma:
Fight detection with spatial and channel wise attention-based ConvLSTM model. - Yao Lv, Peng Liu, Juan Wang, Yao Zhang, Adam Slowik, Jianhui Lv:
GA-based feature selection method for oversized data analysis in digital economy. - M. Sreenu, Nitin Gupta, Chandrashekar Jatoth, Deepak Gupta:
Reinforcement learning and blockchain-based intelligent and secure vaccine recommender system. - Moutaz Alazab:
Android ransomware detection using binary Jaya optimization algorithm. - Elena Higueras-Castillo, Dineshwar Ramdhony, Zoran Kalinic, Francisco J. Liébana-Cabanillas:
Examining the two-dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN. - Dan Li, Ning Lu, Siyu Wang, Wenbo Shi, Chang Choi:
A precise method of identifying Android application family.
Volume 41, Number 2, February 2024
MACHINE LEARNING CHALLENGES AND APPLICATIONS FOR INDUSTRY 4.0 (EXSYS-MLI4.0)
- Víctor Rodríguez-Fernández, David Camacho:
Recent trends and advances in machine learning challenges and applications for industry 4.0. - Atma Ram Sahu, Sanjay Kumar Palei, Aishwarya Mishra:
Data-driven fault diagnosis approaches for industrial equipment: A review. - Álvaro Michelena, José Aveleira-Mata, Esteban Jove, Martín Bayón-Gutiérrez, Paulo Novais, Oscar Fontenla-Romero, José Luís Calvo-Rolle, Héctor Alaiz-Moretón:
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport. - Izaskun Mendia, Sergio Gil-Lopez, Iñaki Grau, Javier Del Ser:
A novel approach for the detection of anomalous energy consumption patterns in industrial cyber-physical systems. - Gen Li, Jason J. Jung:
Dynamic graph embedding-based anomaly detection on internet of things time series. - Federico Gatta, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli:
Predictive maintenance for offshore oil wells by means of deep learning features extraction. - Boyan Xu, Hujun Yin:
A slimmer and deeper approach to deep network structures for low-level vision tasks. - Jiaxin Li, Yonggang Li, Zhenxiang Feng, Bei Sun, Shuang Long, Yanting Luo:
A spatiotemporal-distributed deep-learning framework for KPI estimation of chemical processes with cascaded reactors. - Nijat Mehdiyev, Lea Mayer, Johannes Lahann, Peter Fettke:
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises. - B. Harish Goud, T. N. Shankar, Basant Sah, Rajanikanth Aluvalu:
Energy optimization in path arbitrary wireless sensor network. - Ibrahim Abunadi, Amjad Rehman, Khalid Haseeb, Teg Alam, Gwanggil Jeon:
A multi-parametric machine learning approach using authentication trees for the healthcare industry. - Felipe Barreno, Matilde Santos, Manuel G. Romana:
A novel adaptive vehicle speed recommender fuzzy system for autonomous vehicles on conventional two-lane roads. - Alfonso González-Briones, Pablo Chamoso, Juan Pavón, Fernando de la Prieta, Juan M. Corchado:
Job offers recommender system based on virtual organizations. - Jesús Enrique Sierra-García, Matilde Santos:
Combining reinforcement learning and conventional control to improve automatic guided vehicles tracking of complex trajectories. - Ulligaddala Srinivasarao, Aakanksha Sharaff:
Sentiment analysis from email pattern using feature selection algorithm. - Antonio Jesús Chaves, Cristian Martín, Manuel Díaz:
The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka-ML: A deep-learning performance comparative. - Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Bojan Jovanovic, Marija Bogicevic-Sretenovic, Ivana Strumberger:
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0. - Maciej Szelazek, Szymon Bobek, Grzegorz J. Nalepa:
Semantic data mining-based decision support for quality assessment in steel industry.
INTELLIGENT COMPUTATIONAL METHODS FOR ECONOMICS
- Takfarinas Saber, Dominik Naeher, Malika Bendechache:
Intelligent computational methods for economics. - José Ângelo Ferreira, Edson Luiz Valmorbida, Bruno Goulart Sato, Bruno Pontes Fuentes, Renan Botti:
Forgetting curve models: A systematic review aimed at consolidating the main models and outlining possibilities for future research in production. - Zidi Gao, Ercan Engin Kuruoglu:
Attention based hybrid parametric and neural network models for non-stationary time series prediction. - Xinsheng Zhang, Yulong Ma, Minghu Wang:
An attention-based Logistic-CNN-BiLSTM hybrid neural network for credit risk prediction of listed real estate enterprises. - Przemyslaw Gradzki, Piotr Wójcik:
Is attention all you need for intraday Forex trading? - José Miguel Navarro-Azorín, José María Ramos-Parreño:
...And the pursuit of happiness: International migratory flows and countries' subjective well-being.
REVIEW
- Kaoutar El Madou, Said Marso, Moad El Kharrim, Mohamed El Merouani:
Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis.
ORIGINAL ARTICLES
- Sandeep S. Udmale, Aneesh G. Nath, Durgesh Singh, Aman Singh, Xiaochun Cheng, Divya Anand, Sanjay Kumar Singh:
An optimized extreme learning machine-based novel model for bearing fault classification. - Dheeb Albashish, Hossam M. J. Mustafa, Ruba Abu Khurma, Basela Hasan, Sulieman Bani-Ahmad, Azizi Abdullah, Anas Arram:
Enhanced meta-heuristic methods for industrial winding process modelling. - Naseem Ahmad, Ghulam Muhammad, Kuldeep Singh Yadav, Rabul Hussain Laskar, Ashraf Hossain, Zulfiqar Ali:
A cascaded deep learning framework for iris centre localization in facial image. - Ahmad Bala Alhassan, Wudhichai Assawinchaichote, Huiyan Zhang, Yan Shi:
Hybrid input shaping and fuzzy logic-based position and oscillation control of tower crane system. - Michal Koren, Oded Koren, Or Peretz:
Weighted distance classification method based on data intelligence. - Hossein Yektamoghadam, Amirhossein Nikoofard, Masoumeh Behzadi, Mahdi Khosravy, Nilanjan Dey, Olaf Witkowski:
Multi-criteria evolutionary optimization of a traffic light using genetics algorithm and teaching-learning based optimization.
Volume 41, Number 3, March 2024
REVIEW
- Mohammad Ahsan, Anam Khan, Kaif Rehman Khan, Bam Bahadur Sinha, Anamika Sharma:
Advancements in medical diagnosis and treatment through machine learning: A review.
ORIGINAL ARTICLES
- Harnain Kour, Manoj Kumar Gupta:
Hybrid evolutionary intelligent network for sentiment analysis using Twitter data during COVID-19 pandemic. - Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato:
Multi-aspect permutation tests for model selection. - Chunmeng Liu, Guangyao Li:
WegFormer: Transformers for weakly supervised semantic segmentation. - Srinivasulu Pathakamuri, B. V. Ramana Reddy, A. P. Siva Kumar:
PaaS platform security enhancement using fuzzy based access control and trust based signature. - Ashwini Kodipalli, V. Susheela Devi, Santosh K. Dasar:
Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model. - Hua Zhuang, Xueying Luo:
Cross-efficiency evaluation of the data envelopment analysis with conflict behaviour and beneficial relationship perspectives. - Iztok Fister Jr., Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz, Andreas Holzinger:
NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture. - Wenchao Zhang, Chong Fu, Mai Zhu, Lin Cao, Ming Tie, Chiu-Wing Sham:
Joint object contour points and semantics for instance segmentation. - Sonia Verma, Preeti Rani, Shelly Gupta, Richa Sharma, Kusum Yadav, Arwa N. Aledaily, Meshal Alharbi:
An automated face mask detection system using transfer learning based neural network to preventing viral infection. - Md. Yousuf Ali, Bin Jiang, Oindrila Chowdhury, Md. Harun-Ar-Rashid, M. Shamim Hossain, Khalid Al Mutib:
Cosine modulated filter bank-based architecture for extracting and fusing saliency features. - Sannidhan M. S, Jason Elroy Martis, Senka Krivic, Sudeepa K. B, Pradeep Nazareth:
A swarm-optimized microbial colony counter. - Ruidong Zhang, Zelin Guo, Hai Huan:
Text classification based on PEGCN: Graph convolution classification using location information and edge features. - Zhiyi Yu, Hong Li, Jialin Feng:
Enhancing text classification with attention matrices based on BERT. - Chunlin Yin, Kunpeng Du, Qiong Nong, Hongcheng Zhang, Li Yang, Bin Yan, Xiang Huang, Xiaobo Wang, Xuan Zhang:
PowerPulse: Power energy chat model with LLaMA model fine-tuned on Chinese and power sector domain knowledge.
Volume 41, Number 4, April 2024
REVIEW
- Junxin Chen, Zhihuan Guo, Xu Xu, Gwanggil Jeon, David Camacho:
Artificial intelligence for heart sound classification: A review.
ORIGINAL ARTICLES
- Palak Handa, Muskan Gupta, Esha Gupta, Nidhi Goel:
One-dimensional atrous conv-net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain-computer interface applications. - Mahmoud Ragab, Alaa O. Khadidos, Abdulrhman M. Alshareef, Adil Omar Khadidos, Mohammed Altwijri, Nawaf Alhebaishi:
Optimal deep transfer learning driven computer-aided breast cancer classification using ultrasound images. - Muhammad Yasir, Inam Ullah, Chang Choi:
Depthwise channel attention network (DWCAN): An efficient and lightweight model for single image super-resolution and metaverse gaming. - Xiufeng Zhang, Xingkui Fu, Guobin Qi, Ning Zhang:
A multi-scale feature fusion convolutional neural network for facial expression recognition. - Berkant Düzgün, Aykut Çayir, Ugur Ünal, Hasan Dag:
Network intrusion detection system by learning jointly from tabular and text-based features. - Zhigao Long, Hong Li, Jiawen Shi, Xin Ma:
Data augmentation using virtual word insertion techniques in text classification tasks. - Felipe Augusto Lara Soares, Henrique Cota de Freitas:
Automated and intelligent system for World Health Organization data forecasting. - Jihene Tmamna, Emna Ben Ayed, Rahma Fourati, Amir Hussain, Mounir Ben Ayed:
Bare-Bones particle Swarm optimization-based quantization for fast and energy efficient convolutional neural networks. - Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
Efficient ensembles of distance-based label ranking trees. - Sofia Strukova, Rubén Gaspar Marco, Félix Gómez Mármol, José A. Ruipérez-Valiente:
Identifying professional photographers through image quality and aesthetics in Flickr. - Awanish Kumar Mishra, Indresh Kumar Gupta, Swati Srivastava, Sultan Alfarhood, Mejdl S. Safran:
Empowering EEG motor imagery classification with deep transfer learning approach. - Ali Al Bataineh, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, Amirmehdi Yazdani, Syed Mohammed Shamsul Islam, Abbas Khosravi:
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. - Jie Wu, Mengshu Hou:
Enhancing diversity for logical table-to-text generation with mixture of experts. - Prashanth K. V. T. K. N., Tene Ramakrishnudu:
Sarcasm-based tweet-level stress detection.
Volume 41, Number 5, May 2024
INTELLIGENT FUZZY ASSISTED COGNITIVE SYSTEMS FOR SUPPLY CHAIN MANAGEMENT
- Jinli Ma, Carlos Enrique Montenegro-Marín, Rubén González Crespo:
Effective high-quality economic growth based on human capital structure. - Wurong Zuo, Xing Zhang, Yuemeng Ge:
The economic globalization for sustainable management of overseas trade enterprise logistics. - Rakesh Kumar, Varun Joshi, Gaurav Dhiman, Wattana Viriyasitavat:
An improved exponential metric space approach for C-mean clustering analysing. - Juan Lei:
Research on the improvement path of international competitiveness of China's agricultural product supply chain from the perspective of machine learning. - M. M. Kamruzzaman, Omar Alruwaili, Dhiyaa Aldaghmani:
Measuring systemic and systematic risk in the financial markets using artificial intelligence. - Hao Wang:
Linking AI supply chain strength to sustainable development and innovation: A country-level analysis. - Qian Sun, Sha He:
Auxiliary cognition system-based management strategy optimization of supply chain of new energy in oil-gas enterprises. - Wenwan Wei, De Xiao, Wan Liu:
The analysis of optimized path selection for management mode of coastal regional circular economy based on fuzzy decision algorithm. - Yuan Fang:
The model of Tibetan thangka sales under blockchain technology. - Puyang Zheng:
Supply chain operation evaluation and management decision by fuzzy cognitive map model. - Huwei Li:
Analysis and design of financial data mining system based on fuzzy clustering. - Ziyu Xu:
Supply chain benefit distribution and economic sustainable development by Shapley model in smart city. - Min Chen, Wenhu Du:
Dynamic relationship network and international management of enterprise supply chain by particle swarm optimization algorithm under deep learning. - Yongjie Tian:
Adaptive control and supply chain management of intelligent agricultural greenhouse by intelligent fuzzy auxiliary cognitive system. - Hao Wang, Tao Liu, Zhongyang Yu:
Adoption of blockchain + Internet of Things in demand forecasting of farm supply chain. - Ping Hu, Peng Zhang:
Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management. - Qi Wang, Wenjie Zhang, Lan Ma:
Applying information ecological theory to analyse the green supply chain management system in universities. - Xue Yu, Yunfei Zhu, Congcong Jia, Wanqiu Lu, Hao Xu:
The analysis of green advertisement communication strategy based on deep factorization machine deep learning model under supply chain management. - Caili Yu, Liang Li, Junlong Li, Peng Qin, Bei Zhang:
The evaluation of enterprise supply chain intelligent manufacturing system for agricultural interconnection data based on machine learning. - Fanfan Li, Rong Jiang, Jiabao Li:
The design of intelligent fuzzy cognitive system of music emotion by product supply chain management. - Jun Liu:
The energy storage and optimal dispatch supply chain for new energy grids using edge computing and the internet of things. - Huan Wang, Yuanxing Yin, Xinyu Wang:
The design for supply chain management of intelligent logistics system using cloud computing and the internet of things. - Chenxi Li, Zhaohui Li, Meng Wu:
The genetic algorithm and BP neural network in financial supply chain management under information sharing. - Daolin Zhang, Yong Tang, Xianliang Yan:
Supply chain risk management of badminton supplies company using decision tree model assisted by fuzzy comprehensive evaluation. - Ye Teng, Yuxuan Wang, Huan You:
The risk evaluation and management of the sports service supply chain by introducing fuzzy comprehensive appraisal and artificial intelligence technology.
ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS FOR ENVIRONMENTAL POLLUTION RESEARCH (AL-TURJMAN)
- Junjie Xiang, Haitao Mao, Bin Yang:
Impact assessment and mechanism of water conservancy policy on carbon emission performance under the background of artificial intelligence. - Kalaivanan Karuppannan, Vellingiri Jayagopal:
Normalized hellinger feature selection and soft margin boosting classification for water quality prediction. - Jingyao Song, Changyan Xu, Chuanxu Wang:
Impacts of the carbon tax on green shipping supply chain under the port competition. - Yu Lin:
Carbon emission reduction policy simulation based on the CGE model.
INTELLIGENT SOFTWARE ENGINEERING
- Youhuizi Li, Yuyu Yin, Yu Li, Haijie Hu, Linyang Lu, Jie Cao:
Software business process adaptive approach supporting organization architecture evolution. - Xiaoxiao Sun, Salamat Boranbaev, Shicong Han, Huanqiang Wang, Dongjin Yu:
Expert system for automatic microservices identification using API similarity graph. - Zhifang Liao, Kun Wang, Zeng Qi, Shengzong Liu, Yan Zhang, Jianbiao He:
Classification of open source software bug report based on transfer learning. - Xiaoxiao Sun, Siqing Yang, Yuke Ying, Dongjin Yu:
Next activity prediction of ongoing business processes based on deep learning.
WABIOSIG
- Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya:
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features. - Joel Koh En Wei, Venkatesan Rajinikanth, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Chai Hong Yeong, Meena Sankaranarayanan, Aditya P. Kamath, Giliyar Muralidhar Bairy, Prabal Datta Barua, Kang Hao Cheong:
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals.
Volume 41, Number 6, June 2024
EMERGING TRENDS IN ARTIFICIAL INTELLIGENCE FOR INTELLIGENT INDUSTRIAL APPLICATIONS
- Jose Patris Donald, Linda Joseph:
CIAMS - Checkpoint-intrigued adversary mitigation scheme for industrial internet of things. - Karol Mateusz Ciok, Jordán Pascual Espada, Rubén González Crespo:
Flex-request: Library to make remote changes in the communication of IoT devices. - Dengjia Li, Chaoqun Ma, Zhongding Zhou, Xianhua Kuang, Zijun Lin:
Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform.