LEADER 01565nam 2200409 450 001 9910555077103321 005 20200701174521.0 010 $a1-119-26329-8 010 $a1-119-26326-3 010 $a1-119-26336-0 035 $a(CKB)4330000000009773 035 $a(MiAaPQ)EBC5892450 035 $a(EXLCZ)994330000000009773 100 $a20191003d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPower integrity for electrical and computer engineers /$fJ. Ted Dibene, II (Watsonville, CA, US), David Hockanson 210 1$aHoboken, New Jersey :$cWiley,$d[2020] 210 4$dİ2020 215 $a1 online resource (563 pages) 311 $a1-119-26324-7 327 $aIntroduction -- Power conversion for power integrity -- Platform technologies and system considerations -- Electromagnetic concepts for power integrity -- Transmission-line theory and application -- Signal analysis review -- Numerical methods for power integrity -- Frequency domain analysis -- Time domain analysis -- Silicon power integrity. 606 $aElectric power system stability 615 0$aElectric power system stability. 676 $a621.31 700 $aDiBene$b J. Ted.$cII$g(Joseph Ted),$01199984 702 $aHockanson$b David 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555077103321 996 $aPower integrity for electrical and computer engineers$92816681 997 $aUNINA LEADER 06476nam 22008055 450 001 9911011343103321 005 20250615132141.0 010 $a981-9682-98-3 024 7 $a10.1007/978-981-96-8298-0 035 $a(MiAaPQ)EBC32156836 035 $a(Au-PeEL)EBL32156836 035 $a(CKB)39300720100041 035 $a(OCoLC)1524425136 035 $a(DE-He213)978-981-96-8298-0 035 $a(EXLCZ)9939300720100041 100 $a20250615d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science: Foundations and Applications $e29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VII /$fedited by Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, Joao Gama 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (752 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15876 311 08$a981-9682-97-5 327 $a -- Graph Mining. -- MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion. -- Tensor-Fused Multi-View Graph Contrastive Learning. -- FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction. -- High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network. -- Time Interval Aware Graph Neural Networks for Session-Based Recommendation. -- SSGNN: Structure-aware Scoring Graph Neural Network for Molecular Representation. -- Mint: An Efficient and Robust In-Place Update Approach for Graph-based Vector Index. -- Machine Learning Applications. -- Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models. -- A Systematic Evaluation of Generative Models on Tabular Transportation Data. -- SDF-Guided Multi-modal Big Data Road Extraction. -- Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton. -- Representation Learning. -- Late Fusion Ensembles for Speech Recognition on Diverse Input Audio Representations. -- Text Enhancement-based Multimodal Fusion for Video Sentiment Analysis. -- Advancing Rubric-based Automated Essay Scoring with Multi-View BERT: A Case Study in New Zealand. -- A Script Event Prediction Method Based on Multi-Level Joint Pretraining and Prompt Fine-Tuning. -- Scientific/Business Data Analysis. -- A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection. -- Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms. -- Corporate Carbon Emission Prediction: Combining Structured and Unstructured Data. -- GDCK: Efficient Large-Scale Graph Distillation utilizing a Model-free Kernelized Approach. -- Efficient DNA fragment assembly based on Discrete Slime Mould Algorithm. -- Multi-Scale Control Model for Network Group Behavior. -- Can Self Supervision Rejuvenate Similarity-Based Link Prediction?. -- Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems. -- Insomnia Detection Based on Brain State Sleep Trajectories. -- MCA: Multimodal Contrastive Augmentation for Medical Report Generation. -- Special Track on Large Language Models. .-Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection. -- Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams. -- Large Language Models with Multi-Faceted Relation Alignment for User Novel Interest Discovery. -- Estimating Impact of Behavior Change Messages Using Large Language Models. -- A Meta-Thinking Approach to Mitigating Linguistic Sycophancy in Vision-Language Models. -- VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models. -- TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. -- DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in Large Language Model. -- GRL-Prompt: Towards Prompts Optimization via Graph-empowered Reinforcement Learning using LLMs? Feedback. 330 $aThe two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10?13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15876 606 $aArtificial intelligence 606 $aAlgorithms 606 $aEducation$xData processing 606 $aComputer science$xMathematics 606 $aSignal processing 606 $aComputer networks 606 $aArtificial Intelligence 606 $aDesign and Analysis of Algorithms 606 $aComputers and Education 606 $aMathematics of Computing 606 $aSignal, Speech and Image Processing 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aEducation$xData processing. 615 0$aComputer science$xMathematics. 615 0$aSignal processing. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aDesign and Analysis of Algorithms. 615 24$aComputers and Education. 615 24$aMathematics of Computing. 615 24$aSignal, Speech and Image Processing. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aWu$b Xintao$01828597 701 $aSpiliopoulou$b Myra$01756207 701 $aWang$b Can$01828598 701 $aKumar$b Vipin$065762 701 $aCao$b Longbing$0921499 701 $aZhou$b Xiangmin$01829563 701 $aPang$b Guansong$01829564 701 $aGama$b Joa?o$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911011343103321 996 $aData Science: Foundations and Applications$94402552 997 $aUNINA