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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 39
Volume 39, Number 1, January 2022
- Mohd Saqib Akhoon, Shahrel Azmin Suandi, Abdullah S. Alshahrani, Abdul-Malik H. Y. Saad, Fahad R. Albogamy, Mohd Zaid Bin Abdullah, Sajad A. Loan
:
High performance accelerators for deep neural networks: A review.
- Achukatla Valli Bhasha, Balam Diguvathattu Venkatramana Reddy:
Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network. - Mahdie Eghdami, Hadi Sadoghi Yazdi, Neshat Salehi:
Sparsity-aware support vector data description reinforced by expectation maximization. - Javad Forough, Saeedeh Momtazi:
Sequential credit card fraud detection: A joint deep neural network and probabilistic graphical model approach. - Amit K. Chattopadhyay, Subhagata Chattopadhyay:
VIRDOCD: A VIRtual DOCtor to predict dengue fatality. - Bui Hai Phong, Thang Manh Hoang, Thi-Lan Le:
An end-to-end framework for the detection of mathematical expressions in scientific document images. - Biswajit Sarkar, Animesh Biswas:
A multi-criteria decision making approach for strategy formulation using Pythagorean fuzzy logic. - Kuldeep Singh, Chhavi Dhiman, Dinesh Kumar Vishwakarma, Himanshu Makhija, Gurjit Singh Walia:
A sparse coded composite descriptor for human activity recognition. - Vidhushavarshini Sureshkumar, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Ajay Arunachalam:
A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. - Chen Guo, Heng Tang, Ben Niu:
Evolutionary state-based novel multi-objective periodic bacterial foraging optimization algorithm for data clustering. - Kulanthaivel Balakrishnan, R. Dhanalakshmi, Utkarsh Mahadeo Khaire:
Analysing stable feature selection through an augmented marine predator algorithm based on opposition-based learning. - Michela Ponticorvo, Massimiliano Schembri, Orazio Miglino:
Training and assessing numerical abilities across the lifespan with intelligent systems: The example of Baldo. - Ying Yu, Hao Huang:
Eliciting symptom-diagnosis knowledge from online medical Q&A. - Abhijit Roy, Bikesh Kumar Singh, Sumit K. Banchhor, Kesari Verma:
Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis. - Chandra Mohan Dasari, Raju Bhukya:
MapReduce paradigm: DNA sequence clustering based on repeats as features. - Alfredo S. Ramos, Elías Olivares Benítez, Pablo A. Miranda Gonzalez:
Multi-start iterated local search metaheuristic for the multi-mode resource-constrained project scheduling problem. - Min Seok Lee, Seok Woo Yang, Hong Joo Lee:
Weight attention layer-based document classification incorporating information gain. - Beatriz López, Ferran Torrent-Fontbona, Luis Masana Marín, Alberto Zamora:
HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment. - Chakradhar Pabba, Praveen Kumar:
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition.
Volume 39, Number 2, February 2022
- Desheng Dash Wu, Jon Hall:
Expert systems and risk analytics in service engineering. - Cuicui Luo:
A comparison analysis for credit scoring using bagging ensembles. - Sayed Shahab Amelian, Seyed Mojtaba Sajadi, Mehrzad Navabakhsh, Majid Esmaelian:
Multi-objective optimization for stochastic failure-prone job shop scheduling problem via hybrid of NSGA-II and simulation method. - Hong Lu, Fei Qiao:
An efficient adaptive genetic algorithm for energy saving in the hybrid flow shop scheduling with batch production at last stage. - Xin Liu, Jingkai Huang:
China's high-tech industry efficiency measurement with virtual frontier data envelopment analysis and Malmquist productivity index.
- Baloka Belezamo, Süleyman Eken, Cafer Avci:
Special issue on big data in transportation. - Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara:
A horizontal partitioning-based method for frequent pattern mining in transport timetable. - Zain Ul Abideen, Heli Sun, Zhou Yang, Hamza Fahim:
Regional-based multi-module spatial-temporal networks predicting city-wide taxi pickup/dropoff demand from origin to destination. - Fethullah Gocer, Nazmi Sener:
Spherical fuzzy extension of AHP-ARAS methods integrated with modified k-means clustering for logistics hub location problem. - Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Improved detection of small objects in road network sequences using CNN and super resolution.
- Meisheng Liu, Desheng Wu:
Productivity measurement of industrial sector in China regarding air pollution. - Aneirson Francisco da Silva, Fernando Augusto Silva Marins, Erica Ximenes Dias, Rafael de Carvalho Miranda:
Goal programming and multiple criteria data envelopment analysis combined with optimization and Monte Carlo simulation: An application in railway components. - Sachin Minocha, Birmohan Singh:
A novel equilibrium optimizer based on levy flight and iterative cosine operator for engineering optimization problems. - Jae Kyeong Kim, Chang Geun Jeong, Qinglong Li, Il Young Choi:
The demand effect analysis of head books and tail books in book recommendation networks. - Manuel Mora, Fen Wang, Jorge Marx Gómez, Gloria E. Phillips-Wren:
Development methodologies for ontology-based knowledge management systems: A review. - Zhehong Xiang, Guo Zhou, Yongquan Zhou, Qifang Luo:
Golden sine cosine SALP swarm algorithm for shape matching using atomic potential function. - Kökten Ulas Birant:
Multi-view rank-based random forest: A new algorithm for prediction in eSports. - Abdul Wahid, Annavarapu Chandra Sekhara Rao:
RDOF: An outlier detection algorithm based on relative density. - Vinayakumar Ravi, Vasundhara Acharya, Tuan D. Pham:
Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification. - Jun Liu, Shengkai Zhang, Yan Tu, Liang Li, Zongmin Li:
Improved multi-criteria group decision-making method considering hesitant fuzzy preference relations with self-confidence behaviours for environmental pollution emergency response process evaluation.
Volume 39, Number 3, March 2022
- Deepak Gupta, Utku Kose, Oscar Castillo:
Special issue on deep neural networks for biomedical data and imaging. - Pir Masoom Shah, Hamid Ullah, Rahim Ullah, Dilawar Shah, Yulin Wang, Saif ul Islam, Abdullah Gani, Joel J. P. C. Rodrigues:
DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection. - Neha Yadav, Sk Md Alfayeed, Aditya Khamparia, Babita Pandey, Dang N. H. Thanh, Sagar Pande:
HSV model-based segmentation driven facial acne detection using deep learning. - Hui Wen Loh, Ooi Chui Ping, Emrah Aydemir, Turker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals. - Basetty Mallikarjuna, Gulshan Shrivastava, Meenakshi Sharma:
Blockchain technology: A DNN token-based approach in healthcare and COVID-19 to generate extracted data. - Romany Fouad Mansour, Nada M. Alfar, Sayed Abdel-Khalek, Maha S. Abdelhaq, Rashid A. Saeed, Raed A. Alsaqour:
Optimal deep learning based fusion model for biomedical image classification. - Jianpeng Yuan, Wensheng Huang, Yongshun Wu, Long Liu, Chao Bu, Shuqiang Wang, Weidong Zhang:
Predictive effect of computed tomography imaging omics features under deep learning on metastatic lymph nodes of nasopharyngeal carcinoma.
- Fadi Al-Turjman:
COVID-19 special issue: Intelligent solutions for computer communication-assisted infectious disease diagnosis. - Chandrakanta Mahanty, Raghvendra Kumar, Brojo Kishore Mishra, D. Jude Hemanth, Deepak Gupta, Ashish Khanna:
Prediction of COVID-19 active cases using exponential and non-linear growth models. - Shouqin Jia, Ying Wang, Wuzhang Wang, Qiang Zhang, Xu Zhang:
Value of medical imaging artificial intelligence in the diagnosis and treatment of new coronavirus pneumonia. - Wengang Qiu, Jun Xie, Yi Shen, Jiang Xu, Jun Liang:
Endoscopic image recognition method of gastric cancer based on deep learning model. - Ye Tian, Zheng Chu, Gang Ma:
Fuzzy logic control theory in clinical anesthesia. - Jinxia He, Kaifeng Zhang:
Medical image analysis of multiple myeloma based on convolutional neural network. - Binjun He, Wenbin Hu, Kang Zhang, Shunda Yuan, Xiaoliang Han, Chao Su, Jiaming Zhao, Guzong Wang, Guoxia Wang, Liuya Zhang:
Image segmentation algorithm of lung cancer based on neural network model. - Chonggen Huang, Zaiqiu Gu, Zhigang Jia, Jiong Yan:
Clinical study of serum procalcitonin in the early diagnosis of burns and sepsis under the background of healthy clouds. - Senthil Kumaran Varadharajan, Viswanathan Nallasamy:
P-SCADA - A novel area and energy efficient FPGA architectures for LSTM prediction of heart arrthymias in biot applications.
- Janmenjoy Nayak, Manohar Mishra, Bighnaraj Naik, Hanumanthu Swapnarekha, Korhan Cengiz, Vimal Shanmuganathan:
An impact study of COVID-19 on six different industries: Automobile, energy and power, agriculture, education, travel and tourism and consumer electronics.
- Yu-Dong Zhang, Suresh Chandra Satapathy, Shui-Hua Wang:
Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder. - Ajay Singh, Vaibhav Jindal, Rajinder Sandhu, Victor Chang:
A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing. - Dimple Tiwari, Bhoopesh Singh Bhati, Fadi Al-Turjman, Bharti Nagpal:
Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques. - Duygu Çelik Ertugrul, Demet Çelik Ulusoy:
A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms. - Tarjni Vyas, Raj Yadav, Chitra Solanki, Rutvi Darji, Shivani Desai, Sudeep Tanwar:
Deep learning-based scheme to diagnose Parkinson's disease. - Sonam Aggarwal, Sheifali Gupta, Adi Alhudhaif, Deepika Koundal, Rupesh Gupta, Kemal Polat:
Automated COVID-19 detection in chest X-ray images using fine-tuned deep learning architectures. - Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Karrar Hameed Abdulkareem, Afzan Adam, Robertas Damasevicius, Mazin Abed Mohammed, Raed Abu Zitar:
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches. - Hemanta Kumar Bhuyan, Chinmay Chakraborty, Yogesh Shelke, Subhendu Kumar Pani:
COVID-19 diagnosis system by deep learning approaches. - Guan Wang, Dandan Li, Jinling Ge, Tao Wang:
Medical informatization of management system for admission office under convolutional neural network. - Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh:
Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques. - Ibrahim M. El-Hasnony, Mohamed Elhoseny, Zahraa Tarek:
A hybrid feature selection model based on butterfly optimization algorithm: COVID-19 as a case study. - Lipsita Sahu, Rohit Sharma, Ipsita Sahu, Manoja Das, Bandita Sahu, Raghvendra Kumar:
Efficient detection of Parkinson's disease using deep learning techniques over medical data. - Ihsan Jasim Hussein, Burhanuddin Mohd Aboobaider, Mazin Abed Mohammed, Narjes Benameur, Marwah Suliman Maashi, Mashael S. Maashi:
Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG). - Malavika Saminathan, Manikandan Ramachandran, Ambeshwar Kumar, Rajkumar Kulandaivel, Ashish Khanna, Prakashkumar Singh:
A study on specific learning algorithms pertaining to classify lung cancer disease. - Deepak Kumar Sharma, Parul Lakhotia, Paras Sain, Shikha Brahmachari:
Early prediction and monitoring of sepsis using sequential long short term memory model. - Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hariharan S, Rakhi Thampi, Jude Hemanth Duraisamy:
Traditional and deep-based techniques for end-to-end automated karyotyping: A review. - Enas W. Abdulhay, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions. - Aarya Patel, Ankit Vidyarthi:
PTXNet: An extended UNet model based segmentation of pneumothorax from chest radiography images. - Prerna Sharma, Kapil Sharma:
A novel quantum-inspired binary bat algorithm for leukocytes classification in blood smear. - Auwalu Saleh Mubarak, Sertan Serte, Fadi Al-Turjman, Zubaida Sa'id Ameen, Mehmet Ozsoz:
Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images. - Kavita Sharma:
Internet of healthcare things security vulnerabilities and jamming attack analysis. - Aodi Sui, Wuyong Qian:
Intelligent grey forecasting model based on periodic aggregation generating operator and its application in forecasting clean energy. - José Pereira Delmondes Neto, Ivandré Paraboni:
Multi-source BERT stack ensemble for cross-domain author profiling.
Volume 39, Number 4, May 2022
Emerging Trends in Internet of Things for eHealth and Medical supply Chain Systems
- Victor Chang, Muthu Ramachandran, Chung-Sheng Li:
Special issue editorial on emerging trends in internet of things for e-health and medical supply chain systems. - Rathnamma V. Mydukuri, Suresh Kallam, Rizwan Patan, Fadi Al-Turjman, Manikandan Ramachandran:
Deming least square regressed feature selection and Gaussian neuro-fuzzy multi-layered data classifier for early COVID prediction. - Sandeep Kumar Sood, Keshav Singh Rawat:
Fog-assisted virtual reality-based learning framework to control panic. - Keerthika Periasamy, Suresh Periasamy, Sathiyamoorthi Velayutham, Zuopeng Zhang, Syed Thouheed Ahmed, Anitha Jayapalan:
A proactive model to predict osteoporosis: An artificial immune system approach. - Hocine Hamil, Zahia Zidelmal, Mohamed Salah Azzaz, Samir Sakhi, Redouane Kaibou, Salem Djilali, Djaffar Ould Abdeslam:
Design of a secured telehealth system based on multiple biosignals diagnosis and classification for IoT application. - Chong Ni Ki, Amin Hosseinian Far, Alireza Daneshkhah, Nader Salari:
Topic modelling in precision medicine with its applications in personalized diabetes management.
- Mariano Rincón-Zamorano, Rafael Martínez-Tomás, José Manuel Ferrández de Vicente:
IWINAC'2019: Intelligent systems for cognitive training and assessment. - Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ariadna Besga:
Risk factors for prediction of delirium at hospital admittance. - Daniel González, Miguel A. Patricio, Antonio Berlanga, José M. Molina:
Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data.
- Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills:
A replication study on implicit feedback recommender systems with application to the data visualization recommendation. - Xiuli Mu, Hongyan Zhang:
Embedded electronic medical record text data mining using neural network association classification algorithm. - Jafar Ahmad Abed Alzubi, Omar A. Alzubi, Majdi Beseiso, Anil Kumar Budati, K. Shankar:
Optimal multiple key-based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis. - Jeremy Straub:
Assessment of the comparative efficiency of software-based Boolean, electronic, software-based fractional value and simplified quantum principal expert systems. - M. Adimoolam, Karthi Govindharaju, John A, Senthilkumar Mohan, Ali Ahmadian, Tiziana Ciano:
A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images. - Mamillapally Nagaraju, Priyanka Chawla, Shuchi Upadhyay, Rajeev Tiwari:
Convolution network model based leaf disease detection using augmentation techniques. - Tingting Jiang, Hao Wang, Xiangfeng Luo, Shaorong Xie, Jingchao Wang:
MIFAS: Multi-source heterogeneous information fusion with adaptive importance sampling for link prediction. - K. Mrinalini, P. Vijayalakshmi, T. Nagarajan:
Feature-weighted AdaBoost classifier for punctuation prediction in Tamil and Hindi NLP systems. - Tribhuvan Singh:
Handling multiple objectives using k-means clustering guided multiobjective evolutionary algorithm. - Gustavo H. de Rosa, Mateus Roder, João P. Papa:
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. - Farimah Houshmand Nanehkaran, Seyed Mohammadreza Lajevardi, Mahmoud Mahlouji Bidgholi:
Optimization of fuzzy similarity by genetic algorithm in user-based collaborative filtering recommender systems. - Abhishek Kumar, Jyoti Rawat, Indrajeet Kumar, Mamoon Rashid, Kamred Udham Singh, Yasser D. Al-Otaibi, Usman Tariq:
Computer-aided deep learning model for identification of lymphoblast cell using microscopic leukocyte images. - Alexia G. Tzalavra, Ioannis Andreadis, Kalliopi V. Dalakleidi, Fotios Constantinidis, Evangelia I. Zacharaki, Konstantina S. Nikita:
Dynamic contrast enhanced-magnetic resonance imaging radiomics combined with a hybrid adaptive neuro-fuzzy inference system-particle swarm optimization approach for breast tumour classification. - Satyender, Sanjeev Kumar Dhull, Krishna Kant Singh:
ESIMD: Epileptic seizure identification using metaheuristic deep learning technique. - Ali Aydogdu, Sait Gül:
New entropy propositions for interval-valued spherical fuzzy sets and their usage in an extension of ARAS (ARAS-IVSFS). - Soumya Ranjan Nayak, Janmenjoy Nayak, S. Vimal, Vaibhav Arora, Utkarsh Sinha:
An ensemble artificial intelligence-enabled MIoT for automated diagnosis of malaria parasite. - Raphael Elimeli Nuhoho, Wenyu Chen, Adu Asare Baffour:
A semi-supervised network based on feature embeddings for image classification. - Mahdi Ravakhah, Mehrdad Jalali, Yahya Forghani, Reza Sheibani:
Balanced hierarchical max margin matrix factorization for recommendation system. - Hesam Varaee, Mohammad Reza Ghasemi:
An improved chaotic ideal gas molecular movement algorithm for engineering optimization problems. - Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Saeid Raziani, Abdolah Chalechale:
An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization. - Muhammet Aktas, Zeki Yetgin, Fatih Kiliç, Önder Sünbül:
Automated test design using swarm and evolutionary intelligence algorithms.
Volume 39, Number 5, June 2022
Big Data Analytics with IoT-Oriented Infrastructures for Future Smart Cities
- Rohit Sharma, Deepak Gupta, Andino Maseleno, Sheng-Lung Peng:
Introduction to the special issue on big data analytics with internet of things-oriented infrastructures for future smart cities. - A. K. M. Bahalul Haque, Bharat Bhushan, Gaurav Dhiman:
Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends. - Qi Zhang, Yishu Liu:
Smart user experience medical app interface design based on mobile devices. - Himanshu, Rajesh Khanna, Anil Kumar:
Knowledge acquisition for 3D coordinates of target in wireless sensor networks for smart city application. - Shamik Tiwari, Anurag Jain, Nada Mohamed Osman Sid Ahmed, Charu, Lulwah M. Alkwai, Alaa Kamal Yousif Dafhalla, Sawsan Ali Saad Hamad:
Machine learning-based model for prediction of power consumption in smart grid- smart way towards smart city.