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ORCIDApplied Artificial Intelligence, Volume 36
Volume 36, Number 1, December 2022
- Kasian Myagila
, Hassan Kilavo:
A Comparative Study on Performance of SVM and CNN in Tanzania Sign Language Translation Using Image Recognition.
- Pulkit Rathi, Saumya Bhadauria, Sugandha Rathi:
Watermarking of Deep Recurrent Neural Network Using Adversarial Examples to Protect Intellectual Property. - Isaac Cardoza, Juan-Pablo García-Vázquez, Arnoldo Díaz-Ramírez, Verónica Quintero Rosas:
Convolutional Neural Networks Hyperparameter Tunning for Classifying Firearms on Images. - Lei Jiao, Xuesong Lin, Kang An, Yaqing Song, Yingyuan Liu, Hui Liu, Hai Nan:
Research on Multi-side Joint Industrial Parts Inspection Based on Model Fusion. - Connie Sun, Vijayalakshmi K. Kumarasamy, Yu Liang, Dalei Wu, Yingfeng Wang:
Using a Layered Ensemble of Physics-Guided Graph Attention Networks to Predict COVID-19 Trends. - Yu Zheng, Yonghong Long, Honggang Fan:
Identifying Labor Market Competitors with Machine Learning Based on Maimai Platform. - Aleksandro Montanha, Andreea M. Oprescu, María del Carmen Romero Ternero:
A Context-Aware Artificial Intelligence-based System to Support Street Crossings For Pedestrians with Visual Impairments. - Alexander Riedel, Nico Brehm, Tobias Pfeifroth:
Hand Gesture Recognition of Methods-Time Measurement-1 Motions in Manual Assembly Tasks Using Graph Convolutional Networks. - Ishaani Priyadarshini, Jyotir Moy Chatterjee, Sujatha Radhakrishnan, NZ Jhanjhi, Ali Karime, Mehedi Masud:
Exploring Internet Meme Activity during COVID-19 Lockdown Using Artificial Intelligence Techniques. - Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu:
A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction. - Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang:
Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model. - Song Chen, Hai Liao:
An Unsupervised Detection Method for Multiple Abnormal Wi-Fi Access Points in Large-Scale Wireless Network. - Mohamed Hanafy, Ruixing Ming:
Classification of the Insureds Using Integrated Machine Learning Algorithms: A Comparative Study. - Gerima Tefera, Mohammed Adem:
Fuzzy Closed Filters in Bounded BE-Algebras. - Jean Louis Fendji Kedieng Ebongue, Diane M. Tala, Blaise Omer Yenke, Marcellin Atemkeng:
Automatic Speech Recognition Using Limited Vocabulary: A Survey. - Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan:
Predicting Plasma Vitamin C Using Machine Learning. - Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun:
Hybrid Deep Learning-based Models for Crop Yield Prediction. - Jiang Qian, Jingkang Wei, Hui Chen, Gongping Chen:
Multimodal Failure Matching Point Based Motion Object Saliency Detection for Unconstrained Videos. - Ting-Ting Gu, San-Feng Zhang, Rongrong Cai:
Can Artificial Intelligence Boost Employment in Service Industries? Empirical Analysis Based on China. - Shouzhen Zeng, Zeeshan Ali, Tahir Mahmood, Huanhuan Jin:
Complex Interval-Valued q-Rung Orthopair 2-Tuple Linguistic Aggregation Operators and Their Application in Multi-Attribute Decision-Making. - Vasilios Plakandaras, Periklis Gogas, Theophilos Papadimitriou, Ioannis Tsamardinos:
Credit Card Fraud Detection with Automated Machine Learning Systems. - Muhammad Ibrahim:
Understanding Bias and Variance of Learning-to-Rank Algorithms: An Empirical Framework. - Hanan Abdullah Mengash, Lal Hussain, Hany Mahgoub, A. Al-Qarafi, Mohamed K. Nour, Radwa Marzouk, Shahzad Ahmad Qureshi, Anwer Mustafa Hilal:
Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques. - Camila Maione, Nattane Luiza da Costa, Fernando Barbosa Jr., Rommel Melgaço Barbosa:
A Cluster Analysis Methodology for the Categorization of Soil Samples for Forensic Sciences Based on Elemental Fingerprint. - Samar M. Alqhtani:
BreastCNN: A Novel Layer-based Convolutional Neural Network for Breast Cancer Diagnosis in DMR-Thermogram Images. - Nawaf Mohammad H. Alamri, Michael Packianather, Samuel Bigot:
Deep Learning: Parameter Optimization Using Proposed Novel Hybrid Bees Bayesian Convolutional Neural Network. - Raimundo Celeste Ghizoni Teive, Alex Luciano Roesler Rese, João Paulo Parreira:
An Intelligent System for Operators Performance Multicriteria Evaluation of Distribution Networks. - Murat Sari, Tahir Cosgun, Ibrahim Ertugrul Yalcin, Mahmut Taner, Ibrahim Ilker Ozyigit:
Deciding Heavy Metal Levels in Soil Based on Various Ecological Information through Artificial Intelligence Modeling. - Song Chen, Chuan-Jun Liao:
Prediction of the Probability and Risk Factors of Early Abdominal Aortic Aneurysm Using the Gradient Boosted Decision Trees Model. - Mahdi Hashemi:
Automatic Type Detection of 311 Service Requests Based on Customer Provided Descriptions. - Erick Draayer, David J. Stracuzzi, Craig D. Ulmer, Nicole McMahon:
Pattern-of-Life Activity Recognition In Seismic Data. - Shweta Chauhan, Philemon Daniel, Shefali Saxena, Ayush Sharma:
Fully Unsupervised Machine Translation Using Context-Aware Word Translation and Denoising Autoencoder. - Thi-Vinh Ngo, Phuong-Thai Nguyen, Van Vinh Nguyen, Thanh-Le Ha, Le-Minh Nguyen:
An Efficient Method for Generating Synthetic Data for Low-Resource Machine Translation: An empirical study of Chinese, Japanese to Vietnamese Neural Machine Translation. - Francesco Alesiani, Gülcin Ermis, Konstantinos Gkiotsalitis:
Constrained Clustering for the Capacitated Vehicle Routing Problem (CC-CVRP). - Xia Cao, Zhong-Yi Yang, Wei-Chiang Hong, Rui-Zhe Xu, Yu-Tian Wang:
Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA. - Anne Gerdes:
A participatory data-centric approach to AI Ethics by Design. - Chan-Chih Cheng, Chiu-Chi Wei, Ta-Jen Chu, Hsien-Hong Lin:
AI Predicted Product Portfolio for Profit Maximization. - Ritica Thakur, Vivek L. Manekar:
Artificial Intelligence-Based Image Classification Techniques for Hydrologic Applications. - Bing Gao, Haiyue Yang, Hsiung-Cheng Lin, Zhengping Wang, Weipeng Zhang, Hua Li:
A Hybrid Improved Whale Optimization Algorithm with Support Vector Machine for Short-Term Photovoltaic Power Prediction. - Muhammad Asif, Arfan Ali Nagra, Maaz Bin Ahmad, Khalid Masood:
Feature Selection Empowered by Self-Inertia Weight Adaptive Particle Swarm Optimization for Text Classification. - Mohammad Ehtasham Billah, Farrukh Javed:
Bayesian Convolutional Neural Network-based Models for Diagnosis of Blood Cancer. - Hemalatha Balan, Adel Fahad Alrasheedi, Sameh S. Askar, Mohamed Abouhawwash:
An Intelligent Human Age and Gender Forecasting Framework Using Deep Learning Algorithms. - Mohamed-Amine Chadi, Hajar Mousannif:
A Reinforcement Learning Based Decision Support Tool for Epidemic Control: Validation Study for COVID-19. - Juan Carlos Augusto:
Contexts and Context-awareness Revisited from an Intelligent Environments Perspective. - Mubasher Hussain, Najia Saher, Salman Qadri:
Computer Vision Approach for Liver Tumor Classification Using CT Dataset. - Hamza Sharif, Rizwan Ahmed Khan:
A Novel Machine Learning Based Framework for Detection of Autism Spectrum Disorder (ASD). - Kaya Oguz, Asli Bor:
Prediction of Local Scour around Bridge Piers Using Hierarchical Clustering and Adaptive Genetic Programming. - Iqra Safder, Hafsa Batool, Raheem Sarwar, Farooq Zaman, Naif Radi Aljohani, Raheel Nawaz, Mohamed Gaber, Saeed-Ul Hassan:
Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization. - Kangwei Wang, Xin Zhang, Shuzhi Song, Yan Wang, Yi Shen, Paul D. Wilcox:
Rail Steel Health Analysis Based on a Novel Genetic Density-based Clustering Technique and Manifold Representation of Acoustic Emission Signals. - Syed Ali Nawaz, Dost Muhammad Khan, Salman Qadri:
Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset. - A. Sampath, T. R. Sumithira:
Sparse based recurrent neural network long short term memory (rnn-lstm) model for the classification of ecg signals. - Archika Sharma, M. Omair Shafiq:
A Comprehensive Artificial Intelligence Based User Intention Assessment Model from Online Reviews and Social Media. - Sun Yang, Yunpeng Li, Yu Liu:
Lane Detection Based on Instance Segmentation of BiSeNet V2 Backbone Network. - Eunji Kim, Ga-Young Jang, Soo-Hyun Kim:
How to Apply Artificial Intelligence for Social Innovations. - Surbhi Gupta, Manoj Kumar Gupta, Rakesh Kumar:
A Novel Multi-Neural Ensemble Approach for Cancer Diagnosis. - Tahmid Hasan Pranto, Abdulla All Noman, Asaduzzaman Noor, Ummeh Habiba Deepty, Rashedur M. Rahman:
Effect of Label Noise on Multi-Class Semantic Segmentation: A Case Study on Bangladesh Marine Region. - Phillip Taylor, Nathan Griffiths, Vince Hall, Zhou Xu, Alex Mouzakitis:
Feature Selection for Supervised Learning and Compression. - Muhammad Attaullah, Mushtaq Ali, Maram Fahhad Almufareh, Muneer Ahmad, Lal Hussain, NZ Jhanjhi, Mamoona Humayun:
Initial Stage COVID-19 Detection System Based on Patients' Symptoms and Chest X-Ray Images. - Xueming Yan, Haiwei Xue, Shengyi Jiang, Ziang Liu:
Multimodal Sentiment Analysis Using Multi-tensor Fusion Network with Cross-modal Modeling. - Matthew B. Rhudy, Scott K. Dolan, Catherine Mello, Nathan Greenauer:
Indoor and Outdoor Classification Using Light Measurements and Machine Learning. - Faisal Mehmood Butt, Lal Hussain, Syed Hassan Mujtaba Jafri, Haya Mesfer Alshahrani, Fahd N. Al-Wesabi, Kashif Javed Lone, Elsayed M. Tag El Din, Mesfer Al Duhayyim:
Intelligence based Accurate Medium and Long Term Load Forecasting System. - Md. Riyadh, M. Omair Shafiq:
GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data. - Zhiqiang Guo, Lina Xu, Nona Ali Asgharzadeholiaee:
A Homogeneous Ensemble Classifier for Breast Cancer Detection Using Parameters Tuning of MLP Neural Network. - Martina Mariki, Elizabeth Mkoba, Neema Mduma:
Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach. - Hironori Takimoto, Junya Seki, Sulfayanti F. Situju, Akihiro Kanagawa:
Anomaly Detection Using Siamese Network with Attention Mechanism for Few-Shot Learning. - Sheng Han, Fan Yang, Hui Jiang, Gang Yang, Dawei Wang, Na Zhang:
Statistical analysis of infrared thermogram for CNN-based electrical equipment identification methods. - Vardan Baghdasaryan, Hrant Davtyan, Arsine Sarikyan, Zaruhi Navasardyan:
Improving Tax Audit Efficiency Using Machine Learning: The Role of Taxpayer's Network Data in Fraud Detection. - Fatemeh Besharatnia, Alireza Talebpour, Sadegh Aliakbary:
An Improved Grey Wolves Optimization Algorithm for Dynamic Community Detection and Data Clustering. - Shiva Hassanjani Roshan, Seyed Javad Kazemitabar, Ghorban Kheradmandian:
Artificial Intelligence Aided Agricultural Sensors for Plant Frostbite Protection. - Shuren Zhou, Fan Zhang, Wenmin Zou:
Focusing on shared areas for partial person re-identification. - Hadis Ahmadian Yazdi, Seyyed Javad Seyyed Mahdavi Chabok, Maryam Kheirabadi:
Dynamic Educational Recommender System Based on Improved Recurrent Neural Networks Using Attention Technique. - Zhipeng Feng, Hamdan Gani:
Interpretable Models for the Potentially Harmful Content in Video Games Based on Game Rating Predictions. - Ismail Lotfi, Abdelhamid El Bouhadi:
Artificial Intelligence Methods: Toward a New Decision Making Tool. - Samer Muthana Sarsam, Hosam Al-Samarraie:
A lexicon-based method for detecting eye diseases on microblogs. - Haitao Xu, Qiang Li, Jing Chen:
Highlight Removal from A Single Grayscale Image Using Attentive GAN. - R. S. Rampriya, R. Suganya, Sabari Nathan, P. Shunmuga Perumal:
A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images. - Yuda N. Mnyawami, Hellen H. Maziku, Joseph C. Mushi:
Enhanced Model for Predicting Student Dropouts in Developing Countries Using Automated Machine Learning Approach: A Case of Tanzanian's Secondary Schools. - Irem Ülkü, Erdem Akagündüz:
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D Images. - Mamoona Humayun, Mohammed Saleh Alsaqer, NZ Jhanjhi:
Energy Optimization for Smart Cities Using IoT. - Rui Yang, Yingnian Wu, Xiaolong Liu, Wenbai Chen:
GACSNet: A Lightweight Network for the Noninvasive Blood Glucose Detection. - Kousik Barik, Sanjay Misra, Karabi Konar, Luis Fernández Sanz, Murat Koyuncu:
Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study. - Tolesa Tesema:
Application of Stochastic Frontier to Agriculture in Ethiopia. - Simin Abedi, Mostafa Ghobaei-Arani, Ehsan Khorami, Musa Mojarad:
Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment. - Anday Duru, Ismail Rakip Karas, Fatih Karayürek, Aydin Gülses:
A Deep Learning Approach for Classification of Dentinal Tubule Occlusions. - Vijeta Sharma, Manjari Gupta, Anil Kumar Pandey, Deepti Mishra, Ajai Kumar:
A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets. - Carolina Gil Marcelino, Gabriel M. C. Leite, P. Celes, Carlos Eduardo Pedreira:
Missing Data Analysis in Regression. - Yi-Nan Lin, Cheng-Ying Yang, Sheng-Kuan Wang, Gwo-Jen Chiou, Victor R. L. Shen, Yi-Chih Tung, Frank H. C. Shen, Hung-Chi Cheng:
Development and Evaluation of an Intelligent System for Calibrating Karaoke Lyrics Based on Fuzzy Petri Nets. - Te-Wei Chiang, Cheng-Ying Yang, Gwo-Jen Chiou, Frank Yeong-Sung Lin, Yi-Nan Lin, Victor R. L. Shen, Tong-Ying Tony Juang, Chia-Yang Lin:
Development and Evaluation of an Attendance Tracking System Using Smartphones with GPS and NFC. - Quan M. Tran, Vuong T. Pham, Thi Thuy Nga Duong, Pham The Bao:
Evaluating the Efficacy of Small Face Recognition by Convolutional Neural Networks with Interpolation Based on Auto-adjusted Parameters and Transfer Learning. - Zichun Xu:
Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities. - Meijin Li, Zhiyang Fang, Junfeng Wang, Luyu Cheng, Qi Zeng, Tao Yang, Yinwei Wu, Jiaxuan Geng:
A Systematic Overview of Android Malware Detection. - Ming Zhao, Xiaoyu Song, Shuangyun Xing:
Improved Artificial Bee Colony Algorithm with Adaptive Parameter for Numerical Optimization. - Mehak Rehman, Abdul Razzaq, Irfan Ahmad Baig, Javeria Jabeen, Muhammad Hammad Nadeem Tahir, Umar Ijaz Ahmed, Adnan Altaf, Touqeer Abbas:
Semantics Analysis of Agricultural Experts' Opinions for Crop Productivity through Machine Learning. - Ghafour Alipour, Jamshid Bagherzadeh Mohasefi, Mohammad-Reza Feizi-Derakhshi:
Learning Bilingual Word Embedding Mappings with Similar Words in Related Languages Using GAN. - Fatemeh Sharifi, Emad Mohammed, Trafford Crump, Behrouz H. Far:
Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data. - Guembe Blessing, Ambrose A. Azeta, Sanjay Misra, Victor Chukwudi Osamor, Luis Fernández Sanz, Vera Pospelova:
The Emerging Threat of Ai-driven Cyber Attacks: A Review. - Lincoln Vinicius Schreiber, João Gustavo Atkinson Amorim, Leticia V. Guimaraes, Debora Motta Matos, Celso Maciel da Costa, Adriane Parraga:
Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images. - Nitul Dutta, Sudeep Tanwar, Shobhit K. Patel, Gheorghita Ghinea:
SVM-based Analysis for Predicting Success Rate of Interest Packets in Information Centric Networks. - Anna L. Buczak, Benjamin D. Baugher, Christine S. Martin, Meg W. Keiley-Listermann, James Howard, Nathan H. Parrish, Anton Q. Stalick, Daniel S. Berman, Mark Dredze:
Crystal Cube: Forecasting Disruptive Events. - Thomas Ules, Matthias Haselmann, Michael Grießer, Dieter P. Gruber:
Finger Contact Area Analysis with Convolutional Neural Networks. - Chun-Yang Peng, You-Jin Park:
A New Hybrid Under-sampling Approach to Imbalanced Classification Problems. - Chukiat Worasucheep:
Ensemble Classifier for Stock Trading Recommendation. - Yuvaraj Munian, Antonio Martinez-Molina, Dimitrios Miserlis, Hermilo Hernandez, Miltiadis Alamaniotis:
Intelligent System Utilizing HOG and CNN for Thermal Image-Based Detection of Wild Animals in Nocturnal Periods for Vehicle Safety. - Zakia Hussain, Norsinnira Zainul Azlan:
Estimation of the Torques Produced by Human Upper Limb during Eating Activities Using NARX-NN. - Nebojsa D. Grujic, Vladimir M. Milovanovic:
Associative Word Relations in Natural Language Processing. - Marcos Roberto e Souza, Helena de Almeida Maia, Anderson Carlos Sousa e Santos, Marcelo Bernardes Vieira, Hélio Pedrini:
Multi-Script Video Caption Localization Based on Visual Rhythms. - Faruk Kiliç:
Forecasting the Electricity Capacity and Electricity Generation Values of Wind &Solar Energy with Artificial Neural Networks Approach: The Case of Germany. - Nathan L. D. Sarmento, Jose Marques Basilio Sobrinho, Maxsuel Ferreira Cunha, Cicero da Rocha Souto, Andreas Ries:
Force Control of a Shape Memory Alloy Spring Actuator Based on Internal Electric Resistance Feedback and Artificial Neural Networks. - David Opeoluwa Oyewola, Dada Emmanuel Gbenga, Sanjay Misra, Robertas Damasevicius:
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images. - Khaoula Hantous, Lilia Rejeb, Rahma Hellali:
Detecting Physiological Needs Using Deep Inverse Reinforcement Learning. - Abebaw Alem, Shailender Kumar:
Transfer Learning Models for Land Cover and Land Use Classification in Remote Sensing Image. - Kauê Reis dos Santos, Miguel Angelo de Abreu de Sousa, Sara Dereste Santos, Ricardo Pires, Sigride Thome-Souza:
Differentiation between Epileptic and Psychogenic Nonepileptic Seizures in Electroencephalogram Using Wavelets and Support-Vector Machines. - Manit Chansuparp, Kulsawasd Jitkajornwanich:
A Novel Augmentative Backward Reward Function with Deep Reinforcement Learning for Autonomous UAV Navigation. - Yanzhe Liu, Bingxiang Liu, Jiajia Yu, Jingwen Xia, Canfei Luo:
Automatic Classification of Blue and White Porcelain Sherds Based on Data Augmentation and Feature Fusion. - Sihem Zaoui, Abderrahim Belmadani:
Solution of combined economic and emission dispatch problems of power systems without penalty. - Zhen-Yao Chen:
Integration Learning of Neural Network Training with Swarm Intelligence and Meta-heuristic Algorithms for Spot Gold Price Forecast. - Meena Laad, Ketan Kotecha, Kailas Patil, Reshma Pise:
Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care.