LEADER 06663nam 22006375 450 001 9911114412903321 005 20251108120357.0 010 $a3-032-10209-X 010 $a9783032102096 024 7 $a10.1007/978-3-032-10209-6 035 $a(MiAaPQ)EBC32406646 035 $a(Au-PeEL)EBL32406646 035 $a(CKB)42349149300041 035 $a(DE-He213)978-3-032-10209-6 035 $a(OCoLC)1551395504 035 $a(EXLCZ)9942349149300041 100 $a20251108d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Collective Intelligence $e17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12?15, 2025, Proceedings, Part II /$fedited by Ngoc Thanh Nguyen, Vu Dinh Duc Anh, Adrianna Kozierkiewicz, Sinh Nguyen Van, Manuel Nunez, Jan Treur, Gottfried Vossen 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (753 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2748 311 08$a3-032-10208-1 327 $a -- Deep Learning Techniques. -- AERNN4RP: An Attention-Enriched Recurrent Neural Network for Rainfall Prediction. -- Drone-based Autonomous Navigation and Victim Detection Using Deep Learning Technique for Non-GPS In-Building Environments. -- Defensive Strategy for Explainability in Deep Neural Networks Under Adversarial Attacks. -- Balancing Water Quality using Efficient Deep Learning Configuration for Aquaponics Application. -- Comparative Analysis of CNN Architectures for Boxing Punch Detection. -- ResNet-Based Pandemic Keyword Spotting in Continuous Multilingual Speech: A Study in UNESCO?s Audio Messages for Rapid Health Response. -- SignBart ? New approach with the skeleton sequence for Isolated Sign language Recognition. -- Semantic Communication with Transformer and Knowledge Distillation for Language Translation. -- Social Networks and Intelligent Systems. -- Will they spread it or unmask it? Designing a method for questionnaire specific data characterisation - study case on users? reactance to fake news. -- Temporal Dynamic Networks in Infectious Disease Modeling: A review of Methods and Applications. -- GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set. -- Natural Language Processing with Disaster Tweets: Predicting Crisis Events with Social Media Using Machine Learning. -- Large Language Model-Driven Approach for Automated Competency Knowledge Graph Construction in IT Domain. -- Computational Intelligence in Medical Applications. -- An Efficient Deep Learning-Based Pneumonia Detection Using Chest X-Ray Image Augmentation. -- Deep Neural Network for Early Parkinson?s Disease Detection from Offline Hand-drawing. -- Pathomic Signature for Stratification of Metastasis Risk in Colon Cancer. -- A Novel Hybrid Deep Learning Framework for Automated Malaria Parasite Detection in Microscopic Blood Smear Images. -- An Explainable AI-Based Breast Cancer Classification Combining Rule Sets and Deep Neural Networks. -- Data Mining and Machine Learning. -- Prediction of Real Estate Prices in 15 Largest Polish Cities Using Machine Learning. -- Automated Stock Trading With Q-Learning Algorithm. -- EpiPredict: A Smart Solution for Real-Time Epileptic Seizure Prediction and Alerts based on Machine Learning Models. -- Using Closed Frequent Itemsets To Explain Classification Tasks. -- Measuring Causal Effects of Online Medical Records on Medical Decision Making Using Causal Machine Learning. -- Machine learning-based Chat Bot for Diagnosing Depression: A Mental Disorder Illness. -- LogiDRS: Logical Reasoning using Discourse Relation Sense. -- From Networks to Circuits: A Structured Approach to AI Interpretability. -- Cybersecurity, Blockchain Technology and Internet of Things -- IVFDT: An Improved Very Fast Decision Tree Approach for Blockchain Data Stream Classification. -- HEMA ? IDS: A Hybrid Multi Architecture Ensemble IDS for prediction of malicious network traffic. -- Secure IoT Healthcare: Federated Learning and Blockchain for Privacy-Preserving AI. -- Payload Image-Based Model for Automotive Intrusion Detection on STM32 Platform. -- WleAtNet: A Lightweight Deep Learning Model and Data Framework for Wireless Link Estimation in Resource-Constrained Internet of Things. -- Assessing the Performance Overhead of Firewall-based Intrusion Detection Systems on Home Computers. -- Stylometric and Embedding Synergy for Smishing Detection. -- Anomaly Detection in Industrial Ovens Using XGBoost and IoT Data. 330 $aThis two-volume set CCIS 2747-2748 constitutes the refereed proceedings of the 17th International Conference on Computational Collective Intelligence, ICCCI 2025, held in Ho Chi Minh City, Vietnam, during November 12?15, 2025. The 67 full papers included in this book were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections: Part I: Collective Intelligence and Collective Decision-Making; Cooperative Strategies for Decision Making and Optimization; Computational Intelligence for Digital Content Understanding; Data Fusion and Application for Industry 4.0; and Natural Language Processing. Part II: Deep Learning Techniques; Social Networks and Intelligent Systems; Computational Intelligence in Medical Applications; Data Mining and Machine Learning; and Cybersecurity Blockchain Technology and Internet of Things. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2748 606 $aComputer networks 606 $aEducation$xData processing 606 $aApplication software 606 $aComputer vision 606 $aComputer Communication Networks 606 $aComputers and Education 606 $aComputer and Information Systems Applications 606 $aComputer Vision 615 0$aComputer networks. 615 0$aEducation$xData processing. 615 0$aApplication software. 615 0$aComputer vision. 615 14$aComputer Communication Networks. 615 24$aComputers and Education. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Vision. 676 $a004.6 700 $aNguyen$b Ngoc Thanh$0601234 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911114412903321 996 $aAdvances in Computational Collective Intelligence$94678261 997 $aUNINA LEADER 05064nam 2200601z 450 001 9911134432603321 005 20251214175828.0 010 $a1-118-85215-X 010 $a1-118-85210-9 010 $a9781118852156 035 $a(CKB)2550000001322678 035 $a(EBL)1725085 035 $a(SSID)ssj0001305625 035 $a(PQKBManifestationID)11736692 035 $a(PQKBTitleCode)TC0001305625 035 $a(PQKBWorkID)11257713 035 $a(PQKB)10124883 035 $a(Perlego)996705 035 $a(maruzen)3000030648 035 $a(CaSebORM)9781118852101 035 $a(MiAaPQ)EBC1725085 035 $a(JP-MeL)3000030648 035 $a(EXLCZ)992550000001322678 100 $a20260512d2014 ||| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGameMaker$e Studio for dummies /$f by Michael Rohde 210 $aHoboken, NJ$cWiley$dc2014 215 $a1 online resource (356 p.) 225 0 $6880-03$a--For dummies 300 $aIncludes index 311 08$a1-118-85177-3 311 08$a1-306-90833-7 311 08$a9781118851777 327 $aContents at a Glance; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond This Book; Where to Go from Here; Part I: Getting Started with GameMaker: Studio; Chapter 1: Introducing GameMaker: Studio; Dragging and Dropping Your Way to Making a Game; Understanding the GameMaker Language; Publishing Games to Different Platforms; Highlighting the Key Features of GameMaker: Studio; Creating a Game, Step by Step; Chapter 2: Discovering GameMaker: Studio Features and Tools; Navigating the GameMaker Interface 327 $aPump Up the Volume: Adding Sounds to Your GameMaking Things Sparkle with Sprites; Populating Your Game with Objects; Placing Objects in the Game Room; Part II: Basic Tools and Techniques; Chapter 3: Creating Events; How to Add an Event to an Object; The Create Event; The Destroy Event; The Alarm Event; The Step Event; The Collision Event; The Mouse Event; The Other Event; The Draw Event; The Key Events; The Asynchronous Event; Chapter 4: Adding Actions to Events; How to Assign an Action to an Object; Move Actions; Main1 Actions; Main2 Actions; Control Actions; Score Actions; Extra Actions 327 $aDraw ActionsChapter 5: Working with Views; Using Speed and Movement with Views; Creating a Room with a View; Using a Controller Object to Move the View; Reaching the End of the Room; Positioning the Score Display in a Room with a View; Setting Object Boundaries for Rooms with Views; Destroying Instances When They Leave a Room; Shooting Guided Bullets in a Room with Views; Creating Enemy Planes in a Room with Views; Creating Patterns of Enemy Planes in a Room with Views; Transitioning to the Next Room; Chapter 6: Working with Time Lines; Creating a Time Line; Creating a Time Line Object 327 $aCreating the Time Line RoomTransitioning to the Next Room with Time Lines; Adding a Boss Battle to a Time Line; Part III: Creating Special Effects; Chapter 7: Using Actions to Create Special Effects with Particles; Coding a Button to Trigger the Particles; Using the Create Effect Action; Using the Particle Actions and Emitters; Chapter 8: Coding Special Effects with Particles; Coding the Particle System and the Smoke Trail; Coding the Simple Firework Effect; Coding Emitters; Coding Complex Particle Effects; Chapter 9: Using Surfaces to Create Effects; Understanding the Surface Function 327 $aCreating Shadows with SurfacesUsing Decals with Surfaces; Lighting Effects with Surfaces; Using Surfaces as a View; Chapter 10: Applying Scaling; Configuring the Global Game Settings; Scaling to the Window; Scaling with Draw GUI Events; HTML5 Scaling; Part IV: Coding Physics, Mobile Controls, and More; Chapter 11: Coding with GameMaker Language; Displaying Sub-Images with Code; Adding Code to Objects; Coding a Score Display and Lives; Coding to Start and End Games; Chapter 12: Using Physics; Understanding Fixtures; Adding Movement to an Object with Physics; Adding Physics to Rooms 327 $aPhysics and Shooting Bullets 330 $aGet gaming faster with the official guide to GameMaker: Studio GameMaker: Studio allows you to create your own games, even with zero coding experience, and GameMaker: Studio For Dummies is a complete guide to the ins and outs of the program. Create the game you've always wanted to play in record time and at a fraction of the cost of traditional game development methods. You'll have the flexibility to develop 2D games for Android, iOS, desktops, and the Web. Gain a professional perspective on this revolutionary path to game creation and publishing. Using GameMaker: Studio may 606 $6880-04/$1$aComputer games -- Programming 615 0$aComputer games -- Programming 676 $a794.8 686 $a798.5$2njb/09 801 1$bJP-MeL 906 $aBOOK 912 $a9911134432603321 996 $aGameMaker$94849215 997 $aUNINA