The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals.
Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
* Includes the tracks: artificial intelligence and applied cognitive computing;
* Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).
Fine Tuning a Generative Adversarial Network’s Discriminator for Student Attrition Prediction
Eric Stenton, Pablo Rivas Perea
págs. 3-16
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, H.R. Arabnia
págs. 17-28
White Blood Cell Classification Using Genetic Algorithm–Enhanced Deep Convolutional Neural Networks
Omer Sevinc, Mehrube Mehrubeoglu, Mehmet S. Guzel, Iman Askerzade
págs. 29-44
Deep Learning–Based Constituency Parsing for Arabic Language
Amr Morad, Magdy Nagi, Sameh Alansary
págs. 45-58
Deep Embedded Knowledge Graph Representations for Tactic Discovery
Joshua Haley, Ross Hoehn, John L. Singleton, Chris Ballinger, Alejandro Carbonara
págs. 59-72
Pathways to Artificial General Intelligence: a Brief Overview of Developments and Ethical Issues via Artificial Intelligence, Machine LearningDeep Learning, and Data Science
Mohammadreza Iman, H.R. Arabnia, Robert Maribe Branchinst
págs. 73-88
Brain Tumor Segmentation Using Deep Neural Networks and Survival Prediction
Xiaoxu Na, Li Ma, Mariofanna Milanova, Mary Qu Yang
págs. 89-100
Combination of Variational Autoencoders and Generative Adversarial Network into an Unsupervised Generative Model
Ali Jaber Almalki, Pawel Wocjan
págs. 101-110
Long Short-Term Memory in Chemistry Dynamics Simulation
Heng Wu, Shaofei Lu, Eduardo Colmenares Diaz, Junbin Liang, Jingke She, Xiaolin Tan
págs. 111-126
When Entity Resolution Meets Deep Learning: is Similarity Measure Necessary?
Xinming Li, John R. Talburt, Ting Li, Xiangwen Liu
págs. 127-140
Generic Object Recognition Using Both Illustration Images and Real-Object Images by CNN
Hirokazu Watabe, Misako Imono, Seiji Tsuchiya
págs. 141-146
A Deep Learning Approach to Diagnose Skin Cancer Using Image Processing
Roli Srivastava, Musarath Jahan Rahamathullah, Siamak Aram, Nathaniel Ashby, Roozbeh Sadeghian
págs. 147-154
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
C. Scheiderer, N. Dorndorf, T. Meisen
págs. 157-170
Human Motion Recognition Using Zero-Shot Learning
Farid Ghareh Mohammadi, Ahmed Imteaj, M. Hadi Amini, H.R. Arabnia
págs. 171-182
The Effectiveness of Data Mining Techniques at Estimating Future Population Levels for Isolated Moose Populations
Charles E. Knadler
págs. 183-200
Unsupervised Classification of Cell-Imaging Data Using the Quantization Error in a Self-Organizing Map
Birgitta Dresp-Langley, John M. Wandeto
págs. 201-210
Event-Based Keyframing: transforming Observation Data into Compact and Meaningful Form
Robert Wray, Robert Bridgman, Joshua Haley, Laura Hamel, Angela Woods
págs. 211-222
An Incremental Learning Scheme with Adaptive Earlystopping for AMI Datastream Processing
Yungi Ha, Changha Lee, Seong-Hwan Kim, Chan-Hyun Youn
págs. 223-234
Traceability Analysis of Patterns Using Clustering Techniques
José Aguilar, Camilo Salazar, Julián Alberto Monsalve Pulido, Edwin Montoya, Henry Velasco
págs. 235-250
An Approach to Interactive Analysis of StarCraft: broodWar Replay Data
Dylan Schwesinger, Tyler Stoney, Braden Luancing
págs. 251-262
Merging Deep Learning and Data Analytics for Inferring Coronavirus Human Adaptive Transmutability and Transmissibility
Jack Y. Yang, Xuesen Wu, Gang Chen, William Yang, John R. Talburt, Hong Xie, Qiang Fang, Shiren Wang, Mary Qu Yang
págs. 263-276
págs. 277-296
Machine Learning for Understanding the Relationship Between Political Participation and Political Culture
A. Hannibal Leach, Sajid Hussain
págs. 297-310
Targeted Aspect-Based Sentiment Analysis for Ugandan Telecom: reviews from Twitter
David Kabiito, Joyce Nakatumba Nabende
págs. 311-322
págs. 323-334
Reducing the Data Cost of Machine Learning with AI: a Case Study
Joshua Haley, Robert Wray, Robert Bridgman, Austin Brehob
págs. 335-344
Judging Emotion from EEGs Using Pseudo Data
Seiji Tsuchiya, Misako Imono, Hirokazu Watabe
págs. 345-350
Using Neural Networks and Genetic Algorithms for Predicting Human Movement in Crowds
Abdullah Alajlan, Alaa Edris, Robert B. Heckendorn, Terence Soule
págs. 353-368
Hybrid Car Trajectory by Genetic Algorithms with Non-Uniform Key Framing
Dana Vrajitoru
págs. 369-380
págs. 381-408
págs. 409-424
Neural-Based Adversarial Encryption of Images in ECB Mode with 16-Bit Blocks
Pablo Rivas Perea, Prabuddha Banerjee
págs. 425-436
Application of Modified Social Spider Algorithm on Unit Commitment Solution Considering the Uncertainty of Wind Power in Restructured Electricity Market
Heidar Ali Shayanfar, Hossein Shayeghi, L. Bagherzadeh
págs. 437-448
Predicting Number of Personnel to Deploy forWildfire Containment
John Carr, Matthew Lewis, Qingguo Vimal
págs. 449-460
An Evaluation of Bayesian Network Models for Predicting Credit Risk on Ugandan Credit Contracts
Peter Nabende, Samuel Senfuma, Joyce Nakatumba Nabende
págs. 461-474
Synthetic AI Nervous/Limbic-Derived Instances: (SANDI)
Shelli Friess, James A. Crowder, Michael Hirsch
págs. 477-490
Emergent Heterogeneous Strategies from Homogeneous Capabilities in Multi-Agent Systems
Rolando Fernandez, James D. Humann, Brandon Perelman, Michael R. Dorothy, Sebastian S. Rodriguez, Derrik E. Asher
págs. 491-498
Artificially Intelligent Cyber Security: reducing Risk and Complexity
John N. Carbone, James A. Crowder
págs. 499-524
Procedural Image Generation Using Markov Wave Function Collapse
Pronay Peddiraju, Corey Clark
págs. 525-542
Parallel Algorithms to Detect and Classify Defects in Surface Steel Strips
Khaled R. Ahmed, Majed Al Saeed, Maryam i. Al Jumah
págs. 543-560
Lightweight Approximation of Softmax Layer for On-Device Inference
Ihor Vasyltsov, Wooseok Chang
págs. 561-570
págs. 571-582
Dylan Machovec, James A. Crowder, Howard Jay Siegel, Sudeep Pasricha, Anthony A. Maciejewski
págs. 583-606
Would You Turn on Bluetooth for Location-Based Advertising?
Heng-Li Yang, Shiang-Lin Lin, Jui-Yen Chang
págs. 607-618
Adaptive Chromosome Diagnosis Based on Scaling Hierarchical Clusters
Muhammed Akif Ağca, Cihan Taştan, Kadir Üstün, Ibrahim Halil Giden
págs. 619-640
Application of Associations to Assess Similarity in Situations Prior to Armed Conflict
Ahto Kuuseok
págs. 641-650
A Multigraph-Based Method for Improving Music Recommendation
James Waggoner, Randi Dunkleman, Yang Gao, Todd Gary, Qingguo Vimal
págs. 651-666
A Low-Cost Video Analytics System with Velocity Based Configuration Adaptation in Edge Computing
Woo-Joong Kim, Chan-Hyun Youn
págs. 667-678
Hybrid Resource Scheduling Scheme for Video Surveillance in GPU-FPGA Accelerated Edge Computing System
Gyusang Cho, Seong-Hwan Kim, Chan-Hyun Youn
págs. 679-694
Artificial Psychosocial Framework for Affective Non-player Characters
Lawrence J. Klinkert, Corey Clark
págs. 695-714
págs. 715-720
A Classifier of Popular Music Online Reviews: joy Emotion Analysis
Qing-Feng Lin, Heng-Li Yang
págs. 721-726
A Design on Multilayer Perceptron (MLP) Neural Network for Digit Recognition
Isaac Westby, Hakduran Koc, Jiang Lu, Xiaokun Yang
págs. 729-741
págs. 743-756
An IoT-Edge-Server System with BLE Mesh Network, LBPH: and Deep Metric Learning
Archit Gajjar, Shivang Dave, T. Andrew Yang, Lei Wu, Xiaokun Yang
págs. 757-774
An Edge Detection IP of Low-Cost System on Chip for Autonomous Vehicles
Xiaokun Yang, T. Andrew Yang, Lei Wu
págs. 775-786
Advancing AI-aided Computational Thinking in STEM (Science, Technology, Engineering & Math) Education: (Act-STEM)
Lei Wu, Alan Yang, Anton Dubrovskiy, Han He, Hua Yan, Xiaokun Yang, Xiao Qin, Bo Liu, Zhimin Gao, Shan Du, T. Andrew Yang
págs. 787-796
Realistic Drawing & Painting with AI-Supported Geometrical and Computational Method: (Fun-Joy)
Lei Wu, Alan Yang, Han He, Xiaokun Yang, Hua Yan, Zhimin Gao, Xiao Qin, Bo Liu, Shan Du, Anton Dubrovskiy, T. Andrew Yang
págs. 797-804
Training-Data Generation and Incremental Testing for Daily Peak Load Forecasting
Jihoon Moon, Sungwoo Park, Seungmin Jung, Eenjun Hwang, Seungmin Rho
págs. 807-816
Attention Mechanism for Improving Facial Landmark Semantic Segmentation
Hyungjoon Kim, Hyeonwoo Kim, Seongkuk Cho, Eenjun Hwang
págs. 817-824
Person Re-identification Scheme Using Cross-Input Neighborhood Differences
Hyeonwoo Kim, Hyeonwoo Kim, Bumyeon Ko, Eenjun Hwang
págs. 825-832
Variational AutoEncoder-Based Anomaly Detection Scheme for Load Forecasting
Sungwoo Park, Seungmin Jung, Eenjun Hwang, Seungmin Rho
págs. 833-840
Prediction of Clinical Disease with AI-Based Multiclass Classification Using Naïve Bayes and Random Forest Classifier
V. Jackins, S. Vimal, M. Kaliappan, Mi Young Lee
págs. 841-850
A Hybrid Deep Learning Approach for Detecting and Classifying Breast Cancer Using Mammogram Images
K. Lakshminarayanan, Y. Harold Robinson, S. Vimal, Dongwann Kang
págs. 851-856
Food-Type Recognition and Estimation of Calories Using Neural Network
R. Dinesh Kumar, Golden Julie E., Y. Harold Robinson, Sanghyun Seo
págs. 857-862
Progression Detection of Glaucoma Using K-means and GLCM Algorithm
S. Vimal, Y. Harold Robinson, M. Kaliappan, K. Vijayalakshmi, Sanghyun Seo
págs. 863-868
Trend Analysis Using Agglomerative Hierarchical Clustering Approach for Time Series Big Data
P. Subbulakshmi, S. Vimal, M. Kaliappan, Y. Harold Robinson, Mucheol Kim
págs. 869-876
Demand Response: multiagent System Based DR Implementation
Faisal Saeed, Anand Paul, Seungmin Rho, Muhammad Jamal Ahmed
págs. 877-882
t-SNE-Based K-NN: a New Approach for MNIST
Muhammad Jamal Ahmed, Faisal Saeed, Anand Paul, Seungmin Rho
págs. 883-888
Short- to Mid-Term Prediction for Electricity Consumption Using Statistical Model and Neural Networks
Malik Junaid Jami Gul, Malik Urfa Gul, Yangsun Lee, Seungmin Rho, Anand Paul
págs. 889-896
BI-LSTM-LSTM Based Time Series Electricity Consumption Forecast for South Korea
Malik Junaid Jami Gul, M. Hafid Firmansyah, Seungmin Rho, Anand Paul
págs. 897-902
Inside Blockchain and Bitcoin
Simón Fernández Vázquez, Rafael Rosillo Camblor, Paolo Priore Moreno , Isabel Fernández Quesada , Alberto Gómez Gómez , José Parreño Fernández
págs. 905-912
Smart Marketing on Audiovisual Content Platforms: intellectual Property Implications
Elisa Gutiérrez García, Cristina Puente Águeda , Cristina Velasco, José Ángel Olivas Varela
págs. 913-922
Priority Management in a Cybernetic Organization: a Simulation-Based Support Tool
Julio César Puche Regaliza , José Costas Gual, Borja Ponte Blanco, Raúl Pino Díez , David de la Fuente García
págs. 923-927
A Model for the Strategic Management of Innovation and R&D Based on Real Options Valuation: assessing the Options to Abandon and Expand Clinical Trials in Pharmaceutical Firms
Francisco Javier Puente García , S. Alonso, Fernando Gascón García-Ochoa, Borja Ponte Blanco, David de la Fuente García
págs. 927-932
The Contrastive Study of Spatial Constructions na NPloc in the Russian Language and在NP上in the Chinese Language in the Cognitive Aspect
I. M. Kobozeva, Li Dan
págs. 935-950
Methods and Algorithms for Generating Sustainable Cognitive Systems Based on Thematic Category Hierarchies for the Development of HeterogeneousInformation Resources in Technologicaland Social Spheres
Michael M. Charnine, Elena B. Kozerenko
págs. 951-962
págs. 963-978
An Adaptive Tribal Topology for Particle Swarm Optimization
Kenneth Brezinski, Ken Ferens
págs. 981-998
The Systems AI Thinking Process (SATP) for Artificial Intelligent Systems
James A. Crowder, Shelli Friess
págs. 999-1010
Improving the Efficiency of Genetic-Based Incremental Local Outlier Factor Algorithm for Network Intrusion Detection
Omar Alghushairy, Raed Alsini, Xiaogang Ma, Terence Soule
págs. 1011-1028
Variance Fractal Dimension Feature Selection for Detection of Cyber Security Attacks
Samilat Kaiser, Ken Ferens
págs. 1029-1046
A Grid Partition-Based Local Outlier Factor for Data Stream Processing
Raed Alsini, Omar Alghushairy, Xiaogang Ma, Terence Soule
págs. 1047-1060
A Cognitive Unsupervised Clustering for Detecting Cyber Attacks
Kaiser Nahiyan, Samilat Kaiser, Ken Ferens
págs. 1061-1070
A Hybrid Cognitive System for Radar Monitoring and Control Using the Rasmussen Cognition Model
James A. Crowder, John N. Carbone
págs. 1071-1086
Assessing Cognitive Load via Pupillometry
Pavel Weber, Franca Rupprecht, Stefan Wiesen, Bernd Hamann, Achim Ebert
págs. 1087-1096
A Hybrid Chaotic Activation Function for Artificial Neural Networks
Siobhan Reid, Ken Ferens
págs. 1097-1106
Defending Aviation Cyber-Physical Systems from DDOS Attack Using NARX Model
Abdulaziz A. Alsulami, Saleh Zein Sabatto
págs. 1107-1122
Simulated Annealing Embedded Within Personal Velocity Update of Particle Swarm Optimization
Ainslee Heim, Ken Ferens
págs. 1123-1144
Cognitive Discovery Pipeline Applied to Informal Knowledge
Nicola Severini, Pietro Leo, Paolo Bellavista
págs. 1145-1152
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