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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. - Amin Amini, Jamil Kanfoud, Tat-Hean Gan:
An Artificial Intelligence Neural Network Predictive Model for Anomaly Detection and Monitoring of Wind Turbines Using SCADA Data. - Eman Hussein Sharaf Addin, Novia Admodisastro, Siti Nur Syahirah Mohd Ashri, Azrina Kamaruddin, Yew Chew Chong:
Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning. - Fatemeh Abbasi, Ehsan Fazl Ersi:
Identifying Influentials in Social Networks. - Bhagyashree V. Lad, Manisha Das, Mohammad Farukh Hashmi, Avinash G. Keskar, Deep Gupta:
Saliency Detection Using a Bio-inspired Spiking Neural Network Driven by Local and Global Saliency. - Zhengyun Xu, Songrong Qian, Xiu Ran, Ji Zhou:
Application of Deep Convolution Neural Network in Crack Identification. - Yuexu Zhao, Wei Deng:
Prediction in Traffic Accident Duration Based on Heterogeneous Ensemble Learning. - Çaglar Hizli, Serap Kirbiz:
A Bayesian Allocation Model Based Approach to Mixed Membership Stochastic Blockmodels. - Komang Wahyu Trisna, Huang Jin Jie:
Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review. - Mahboubeh Salimian, Mostafa Ghobaei-Arani, Ali Shahidinejad:
An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach. - Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir K. Dhar, Babajide O. Familoni, Khan Iftekharuddin, Scott T. Acton:
Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition. - Xuanbo Su, Nuha Zamzami, Nizar Bouguila:
A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models. - E. Poovannan, S. Karthik:
Pre Synthesis and Post Synthesis Power Estimation of VLSI Circuits Using Machine Learning Approach. - Feiyang Cai, Ali Irmak Ozdagli, Xenofon D. Koutsoukos:
Variational Autoencoder for Classification and Regression for Out-of-Distribution Detection in Learning-Enabled Cyber-Physical Systems. - Arfan Ali Nagra, Khalid Alissa, Taher M. Ghazal, Saigeeta Kukunuru, Muhammad Mugees Asif, Muhammad Fawad:
Deep Sentiments Analysis for Roman Urdu Dataset Using Faster Recurrent Convolutional Neural Network Model. - Bui My Hanh, Le Tuan Linh, Nguyen Ngoc Cuong, Thanh Binh Nguyen, Luu Tien Doan, Chung Duy Le, Vu Tat Giao, Thi Ly Ly Ngo, Thi Hong Xuyen Hoang, Nguyen Duc Thang, Nguyen Tu Anh, Nguyen Duc Dan, Nguyen Viet Dung, Tran Vinh Duc, Quang H. Nguyen, Anh Nguyen, Nguyen Hoang Phuong:
Convolutional Neural Networks Improve Radiologists' Performance in Breast Cancer Screening for Vietnamese patients. - Lorenzo Ricciardi Celsi, Jesús Fernando Cevallos Moreno, Federico Kieffer, Valerio Paduano:
HR-Specific NLP for the Homogeneous Classification of Declared and Inferred Skills. - Aleksandar Seizovic, David Thorpe, Steven Goh:
Emergent behavior in the battle management system. - Atheer Hadi Issa Al-Rammahi:
Face mask recognition system using MobileNetV2 with optimization function. - Hui Shi, Rui Lai, Gangyan Li, Wenyong Yu:
Visual inspection of surface defects of extreme size based on an advanced FCOS. - Adil Aslam Mir, Lal Hussain, Muhammad Hammad Waseem, Amjad Aldweesh, Saim Rasheed, El Sayed Yousef, Malik Sajjad Ahmed Nadeem, Elsayed Tag-Eldin:
Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option. - Jishnu Jeevan, Madhu S. Nair:
On the performance analysis of solving the Rubik's cube using swarm intelligence algorithms. - Xianbo Li:
Text Classification of Conversational Implicatures Based on Lexical Features. - Alexey G. Finogeev, Michael Deev, Danila S. Parygin, Anton A. Finogeev:
Intelligent SDN Architecture With Fuzzy Neural Network and Blockchain for Monitoring Critical Events. - Zahra Fathali, Zahra Kodia, Lamjed Ben Said:
Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques. - M. Gayathri, C. Gomathy:
AI-TASFIS: An Approach to Secure Vehicle-to-Vehicle Communication. - Feiyan Zhang, Shuhao Yan, Yizhong Zhao, Yuan Gao, Zhi Li, Xuesong Lu:
Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation. - Sivapathi Arunachalam, Gopalakrishnan Sethumathavan:
An effective tumor detection in MR brain images based on deep CNN approach: i-YOLOV5. - Hideyasu Sasaki:
Emulating Heterogeneity of Individuals and Visualizing Its Influence on Ant Swarm Migration. - Abebaw Alem, Shailender Kumar:
End-to-End Convolutional Neural Network Feature Extraction for Remote Sensed Images Classification. - Edurne Loyarte-López, Igor García Olaizola:
Machine Learning Based Method for Deciding Internal Value of Talent. - Hyeonseop Yuk, Juhui Gim, Jung Kee Min, Jaesuk Yun, Tae-Young Heo:
Artificial Intelligence-based Prediction of Diabetes and Prediabetes Using Health Checkup Data in Korea. - Gül Cihan Habek, Mansur Alp Toçoglu, Aytug Onan:
Bi-Directional CNN-RNN Architecture with Group-Wise Enhancement and Attention Mechanisms for Cryptocurrency Sentiment Analysis. - Longfeng Shen, Yulei Jian, Debao Chen, Fangzheng Ge, Xiangjun Gao, Huaiyu Liu, Qianqian Meng, Yingjie Zhang, Chengzhen Xu:
Multi-Cue Gate-Shift Networks for Mouse Behavior Recognition. - Ebenezer K. Siabi, Yihun T. Dile, Amos T. Kabo-Bah, Mark Amo-Boateng, Geophery K. Anornu, Komlavi Akpoti, Christopher Vuu, Peter Donkor, Samuel K. Mensah, Awo B. M. Incoom, Emmanuel K. Opoku, Thomas Atta-Darkwa:
Machine learning based groundwater prediction in a data-scarce basin of Ghana. - Manit Chansuparp, Kulsawasd Jitkajornwanich:
LifeGuard: An Improvement of Actor-Critic Model with Collision Predictor in Autonomous UAV Navigation. - Can Zhou, Mengting Li, Sha Yu:
Intelligent Grouping Method of Science and Technology Projects Based on Data Augmentation and SMOTE. - Song Chen, Hai Liao:
BERT-Log: Anomaly Detection for System Logs Based on Pre-trained Language Model. - Boris Gasparovic, Jonatan Lerga, Goran Mausa, Marina Ivasic-Kos:
Deep Learning Approach For Objects Detection in Underwater Pipeline Images. - Rushank Goyal:
Intracerebral Hemorrhage Detection in Computed Tomography Scans Through Cost-Sensitive Machine Learning. - Risheng Qiao, Weike Chen, Yongsheng Qiao:
Prediction of stock return by LSTM neural network. - Dovile Kuiziniene, Tomas Krilavicius, Robertas Damasevicius, Rytis Maskeliunas:
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods. - ZhaoZhao Zhang, Yue Liu, Ying-qin Zhu, Xiaofei Zhao:
An online self-adaptive RBF network algorithm based on the Levenberg-Marquardt algorithm. - ZhaoZhao Zhang, Qiang Dai, Ying-qin Zhu:
A Multi-Model Prediction Method for Coal Mine Gas Concentration with Hierarchical Structure. - Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy:
Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images. - Amani Abdulrahman Albraikan, Jaber S. Alzahrani, Noha Negm, Lal Hussain, Mesfer Al Duhayyim, Manar Ahmed Hamza, Abdelwahed Motwakel, Ishfaq Yaseen:
Future Challenges of Particulate Matters (PMs) Monitoring by Computing Associations Among Extracted Multimodal Features Applying Bayesian Network Approach. - Peifeng Ni, Quanxiu Wang:
Internet and Telecommunication Fraud Prevention Analysis based on Deep Learning. - M. Rathipe, F. S. Raphela:
Assessment of Occupational Exposure to Noise among Sawmill Workers in the Timber Processing Factories. - Mohammad A. Mezher:
Genetic Folding (GF) Algorithm with Minimal Kernel Operators to Predict Stroke Patients. - Yuda N. Mnyawami, Hellen H. Maziku, Joseph C. Mushi:
Comparative Study of AutoML Approach, Conventional Ensemble Learning Method, and KNearest Oracle-AutoML Model for Predicting Student Dropouts in Sub-Saharan African Countries. - Pedro R. Palos-Sanchez, Pedro Baena-Luna, A. Badicu, J. C. Infante-Moro:
Artificial Intelligence and Human Resources Management: A Bibliometric Analysis. - Laraib Sana, Muhammad Mohsin Nazir, Muddesar Iqbal, Lal Hussain, Amjad Ali:
Anomaly Detection for Cyber Internet of Things Attacks: A Systematic Review. - Dennis Delali Kwesi Wayo, Sonny Irawan, Javed Akbar Khan, Fitrianti:
CFD Validation for Assessing the Repercussions of Filter Cake Breakers; EDTA and SiO2 on Filter Cake Return Permeability. - Bhuvaneswari Swaminathan, Saravanan Palani, Subramaniyaswamy Vairavasundaram:
Meta Learning-Based Dynamic Ensemble Model for Crop Selection. - Erhan Akbal, Turker Tuncer, Sengul Dogan:
Vehicle Interior Sound Classification Based on Local Quintet Magnitude Pattern and Iterative Neighborhood Component Analysis.
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