LEADER 00791nam0-22002891i-450- 001 990006780630403321 005 20001010 035 $a000678063 035 $aFED01000678063 035 $a(Aleph)000678063FED01 035 $a000678063 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aTime series techniques for economists$fTerence C. Mills 210 $aCambridge$cCambridge University Press$d1990. 215 $aX, 378 p.$d23 cm 676 $a330 700 1$aMills,$bTerence C.$089162 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006780630403321 952 $aVI E 507$b11749$fFSPBC 959 $aFSPBC 996 $aTime series techniques for economists$945736 997 $aUNINA DB $aGEN01 LEADER 05017nam 22006855 450 001 9910986143103321 005 20250309115229.0 010 $a9789819791323 010 $a9819791324 024 7 $a10.1007/978-981-97-9132-3 035 $a(MiAaPQ)EBC31952089 035 $a(Au-PeEL)EBL31952089 035 $a(CKB)37801568500041 035 $a(DE-He213)978-981-97-9132-3 035 $a(OCoLC)1507697250 035 $a(EXLCZ)9937801568500041 100 $a20250309d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of International Conference on Generative AI, Cryptography and Predictive Analytics $eICGCPA 2024 /$fedited by Deepali Virmani, Oscar Castillo, Valentina Emilia Balas, Ahmed A. Elngar 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (488 pages) 225 1 $aStudies in Smart Technologies,$x3004-989X 311 08$a9789819791316 311 08$a9819791316 327 $aT5 Generator: An Aspect Based Analysis of Sentiments -- A Comprehensive Study to Predicting Unethical Activity in Videos through Deep Learning Techniques -- An IoT based Prototype for Water Quality Monitoring and Leak Detection (WQM-LD) Using Ensemble Voting Feature Selection Approach -- An Efficient approach towards heart disease using Machine Learning -- Vision based classification of human activities using 2D CNN and bidirectional LSTM -- Virtual Personal Assistant System Based on Speech Recognition Technology -- Enhanced Techniques for Feature Extraction to Improve Facial Expression Recognition -- Interpretable Drug Interaction Forecasting: Leveraging Graph Neural Networks with Explainable Artificial Intelligence -- An Innovative WGM-Segmented Dielectric Resonator-Based Mm-Wave All-Round Antenna -- Computer Auditory Imagination: A Multi-Model Approach for Audio to Video Synthesis -- Space-IoT using Unlimited lifetime 1U CubeSat-integrated Very High Stiffness and small size Fully Metallic Antenna -- Introducing AI Code Generators In Agile Software Testing -- Improving Machine Learning Models and Neural Network Performance in IoT Systems Using Gradient Descent Methods -- Lightweight Cryptography: Integrating Feedback DNA with the AES Algorithm for Enhanced Security -- Detection, Prevention and Mitigation of Cross Site Scripting Attacks -- Analysis of Hybrid Satellite Cooperative Communication Systems for SISO and MISO -- A Fine-Tuned EfficientNet B1 Framework for Multiclass Skin Cancer Classification -- Effective Strategies for Addressing Class Imbalance in identifying spam on Twitter -- Enhancing Travel Planning Through Data Visualization and Machine Learning -- Utilizing supervised machine learning techniques for predicting the loan approval status of bank customers -- A CNN framework for COVID identification using Radiographic Images -- Handwritten text recognition using Region Proposal Network (RPN) -- Uncertainty-Aware Molecular Property Prediction using Heterogeneous Molecular Graph Neural Networks -- Bridging the Gap - A Multimodal Communication System using Deep Learning -- Driver Alertness Monitoring Through Eye Blinking Patterns -- Alpha Blending Based Adaptive Color Image Watermarking Technique. 330 $aThe book presents the proceedings of the International Conference on Generative AI, Cryptography and Predictive Analytics (ICGCPA 2024), held at VIPS-TC, School of Engineering and Technology, Pitampura, Delhi, India, during June 28 ? 29, 2024. It covers Generative AI's role in problem-solving, examining applications in image synthesis, content creation, healthcare, and optimization challenges. This book is a valuable resource for postgraduate students in various engineering disciplines. 410 0$aStudies in Smart Technologies,$x3004-989X 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMachine learning 606 $aQuantitative research 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aData Analysis and Big Data 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aQuantitative research. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aData Analysis and Big Data. 676 $a006.3 700 $aVirmani$b Deepali$01791043 701 $aCastillo$b Oscar$0762265 701 $aBalas$b Valentina Emilia$0851966 701 $aElngar$b Ahmed A$01369197 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910986143103321 996 $aProceedings of International Conference on Generative AI, Cryptography and Predictive Analytics$94327893 997 $aUNINA