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Computational collective intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023, Proceedings by ICCCI (Conference) Budapest, Hungary ; Online), SpringerLink (Online service)

Contents: “…Collective Intelligence and Collective Decision-Making -- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions -- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management -- An Architecture for Enabling Collective Intelligence in IoT Networks -- Self-Organizing Maps for Data Purchase Support in Data Marketplaces -- Agent based model of elementary school group learning - a case study -- Deep Learning Techniques -- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks -- DNGAE: Deep Neighborhood Graph Autoencoder for robust blind hyperspectral unmixing -- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition -- Graph Convolution Collaborative Filtering with Dense Embeddings -- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-ray Image Classification -- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection -- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series -- Efficient Sparse Networks from Watts-Strogatz Network Priors -- Natural Language Processing -- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation -- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method -- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology -- Detecting Duplicate Multiple Choice Questions in The Large Question Bank -- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform -- Data Minning and Machine learning -- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach -- Complexity-Based Code Embeddings -- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study -- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation -- Staircase Recognition based on Possibilistic Feature Quality Assessment Method -- Social Networks and Intelligent Systems -- Toward effective link prediction based on local information in organizational social networks -- A new topic modeling method for tweets comparison -- Measuring gender: A machine learning approach to social media demographics and author profiling -- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach -- Educational Videos Recommendation System Based On Topic Modeling -- Cybersecurity, Blockchain Technology and Internet of Things -- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems -- Trust Assessment on Data Stream Imputation in IoT Environments -- Optimizing Merkle Tree Structure for Blockchain transactions by a DC Programming approach -- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living -- Hyperledger blockchain-enabled cold chain application for flower logistics -- A Fully Decentralized Privacy-Enabled Federated Learning System -- Cooperative Strategies for Decision Making and Optimization -- Two-dimensional Pheromone in Ant Colony Optimization -- Analysis of different reinsertion strategies in Steady State Genetic Algorithm -- Traffic Optimization by Local Bacterial Memetic Algorithm -- Optimizing Fire Control Monitoring System in Smart Cities -- Computational Intelligence for Digital Content Understanding -- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning -- Speaker Identification Enhancement Using Emotional Features -- Classification of punches in Olympic boxing using static RGB cameras -- Learning Human Postures using Lab-Depth HOG Descriptors -- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis -- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network -- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification -- Intelligent Automated Pancreas Segmentation using U-Net Model Variants -- Knowledge Engineering and Apllication for Industry 4.0 -- Energy and Congestion Awareness Traffic Scheduling in Hybrid Software-Defined Network with Flow Splitting -- "Is Proton good enough?" …”
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Remediation in medical education : a mid-course correction Second edition. by SpringerLink (Online service)

Contents: “…Goal 1E: Promote the Availability of Remediation Resources to All Learners and Health Professions Education Community Members -- Goal 1F: Support Faculty Development Initiatives for All Steps of the Remediation Process, Including Early Identification, Intervention, and Referral -- Phase 2: Structural Elements of the Remediation Process -- Goal 2A: Tailor Remediation Plans to Individual Learners' Needs -- Goal 2B: Construct Effective and Nonjudgmental Processes to Share Evolving Information About Learners Who Struggle -- Goal 2C: Avoid Conflicts of Interest When Distributing Remediation Roles.…”
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Collaborative genomics projects : a comprehensive guide First edition. by Sheth, Margi, Zhang, Jiashan, Zenklusen, Jean C.

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Computational methods and models for transport : new challenges for the greening of transport systems by SpringerLink (Online service), CM3 Conference on Computational Multi Physics, Multi Scales and Multi Big Data in Transport Modeling, Simulation and Optimization, European Conferences on Green Challenges in Transport

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Geospatial challenges in the 21st century by SpringerLink (Online service)

Contents: “…Ferreira, Inês Boavida-Portugal and Jorge Rocha -- Contribution of GIS and hydraulic modeling to the management of water distribution network / Chérifa Abdelbaki, Bénina Touaibia, Abdelhadi Ammari, Hacène Mahmoudi and Mattheus Goosen -- Remote sensing technology for evaluation of variations in land surface temperature, and case study analysis from southwest Nigeria / Adebayo Oluwole Eludoyin, Iyanuoluwa Omotoso, Oyenike Mary Eludoyin and Kehinde Solomon Popoola -- Web map application to support spatial planning, decision-making and transition toward climate-smart landscapes in the Taita Hills, Kenya / Tino Johansson, Janne Heiskanen, Mika Siljander and Petri Pellikka -- The role of geographic technologies in the measure of spatial equity. …”
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Computational logistics : 11th International Conference, ICCL 2020, Enschede, the Netherlands, September 28-30, 2020, Proceedings by ICCL (Conference) Online), SpringerLink (Online service)

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Plant engineer's handbook by ScienceDirect (Online service)

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Safety for future transport and mobility by Ross, Hans-Leo

Contents: “…2.1.1 Development of the Context -- 2.1.2 Identification of Risk -- 2.1.3 Assessment of the Risk in the Target Context -- 2.1.4 Development of a Strategy and Treatment of Potential Risk -- 2.1.5 Development and Defining of Activities and Their Objectives -- 2.1.6 Development of an Implementation and Realisation Strategy -- 2.1.7 Review and Evaluation of the Plan -- 2.2 Technical Risk -- 2.3 Risk in Road Traffic -- 2.3.1 Causes of Technical Risk -- 2.3.2 Control of Technical Risk -- 2.4 Standardisation of Safety for Road Vehicles -- 2.4.1 Risk and Integrity Definition from the IEC 61508.…”
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Current topics in artificial intelligence : 13th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2009, Seville, Spain, November 9-13, 2009. Selected Paper... by Asociación Española de Inteligencia Artificial. Conferencia, SpringerLink (Online service)

Contents: “…Diagnosis -- Employing Test Suites for Verilog Fault Localization -- Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation -- On the Complexity of Program Debugging Using Constraints for Modeling the Program's Syntax and Semantics -- Evolutive Algorithms and Neural Networks -- An Analysis of Particle Properties on a Multi-swarm PSO for Dynamic Optimization Problems -- An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis -- A Multi-objective Neuro-evolutionary Algorithm to Obtain Interpretable Fuzzy Models -- Improving Isolated Handwritten Word Recognition Using a Specialized Classifier for Short Words -- Knowledge Representation and Engineering -- Closeness and Distance Relations in Order of Magnitude Qualitative Reasoning via PDL -- Base Belief Change for Finitary Monotonic Logics -- Common Pitfalls in Ontology Development -- Machine Learning -- Obtaining Optimal Class Distribution for Decision Trees: Comparative Analysis of CTC and C4.5 -- Selecting Few Genes for Microarray Gene Expression Classification -- Sequential Pattern Mining in Multi-relational Datasets -- CBR Outcome Evaluation for High Similar Cases: A Preliminary Approach -- On the Suitability of Combining Feature Selection and Resampling to Manage Data Complexity -- Automated Constraint Selection for Semi-supervised Clustering Algorithm -- Multiagents -- Empirical Hardness for Mixed Auctions -- Developing Strategies for the ART Domain -- A Multiagent Solution to Adaptively Classify SOAP Message and Protect against DoS Attack -- Natural Language -- Adding Morphological Information to a Connectionist Part-Of-Speech Tagger -- Planning -- A Look-Ahead B&B Search for Cost-Based Planning -- A Tabu Search Algorithm to Minimize Lateness in Scheduling Problems with Setup Times -- Improving Local Search for the Fuzzy Job Shop Using a Lower Bound -- Tutoring Systems -- Data-Driven Student Knowledge Assessment through Ill-Defined Procedural Tasks -- Uncertainty: Bayesian Networks -- Recursive Probability Trees for Bayesian Networks -- Vision -- Generating Saliency Maps Using Human Based Computation Agents -- A New Contiguity-Constrained Agglomerative Hierarchical Clustering Algorithm for Image Segmentation -- Applications -- Classifying Sleep Apneas Using Neural Networks and a Combination of Experts -- Expert System to Real Time Control of Machining Processes -- A Flexible System for Document Processing and Text Transcription.…”
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Code generation with Roslyn by Harrison, Nick (Software consultant)

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Advanced persistent training : take your security awareness program to the next level by Schroeder, Jordan

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Integrated Analytical Approaches for Pesticide Management by ScienceDirect (Online service)

Contents: “…; Defining Decision Rules; Sampling Designs; Simple Random Sampling; Stratified Sampling; Systematic Sampling; Special Case 1: Transect Sampling; Special Case 2: Grid Sampling; Cluster Sampling; Concepts of Accuracy, Bias, and Precision; Spatial and Temporal Variation; Spatial Considerations; Temporal Considerations; Field Sampling; Soil; Streams; Spray Drift.…”
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Advances in dependability engineering of complex systems : proceedings of the twelfth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, July 2-6, 2017,... by International Conference on Dependability of Computer Systems Brunów, Poland, SpringerLink (Online service)

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Machine learning : ECML 2006 : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006 : proceedings by European Conference on Machine Learning Berlin, Germany, SpringerLink (Online service)

Contents: “…Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Images from Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking -- Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples -- Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.…”
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The coder's path to wealth and independence by Beckner, Mark

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Research and management practices for conservation of the Persian leopard in Iran by SpringerLink (Online service)

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Pro Android 3 by Komatineni, Satya

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Oracle high availability, disaster recovery, and cloud services : explore RAC, data guard, and cloud technology by Kumar, Y. V. Ravi, Basha, Nassyam, K. M., Krishna Kumar, Śarmā, Bālamukunda, 1889-1956, Kerekovski, Konstantin

Contents: “…With this knowledge, end users will be able to make better decisions on how to build out their infrastructure in a resilient and fault tolerant way. …”
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Product-focused software process improvement : 7th international conference, PROFES 2006, Amsterdam, the Netherlands, June 12-14, 2006 : proceedings by PROFES 2006 Amsterdam, Netherlands, SpringerLink (Online service)

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Knowledge-based and intelligent information and engineering systems : 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings. Part I by International Conference on Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies Cardiff, Wales, SpringerLink (Online service)

Contents: “…Keynote Talks -- Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering -- A Semiotic View of Social Intelligence for Realizing Human-Machine Symbiotic Systems -- Embracing Uncertainty: The New Machine Intelligence -- Exploiting Social Structures and Social Networks -- Knowledge Visualization for Engineered Systems -- Proximity-Based Federation of Smart Objects: Liberating Ubiquitous Computing from Stereotyped Application Scenarios -- Artificial Neural Networks, Connectionists Systems and Evolutionary Computation -- A Neural Network Model to Develop Urban Acupuncture -- Discovering Process Models with Genetic Algorithms Using Sampling -- A Multi-Objective Evolutionary Approach for the Antenna Positioning Problem -- CLONAL-GP Framework for Artificial Immune System Inspired Genetic Programming for Classification -- Solving Industrial Based Job-Shop Scheduling Problem by Distributed Micro-Genetic Algorithm with Local Search -- Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards -- Sensitivity Analysis and Automatic Calibration of a Rainfall-Runoff Model Using Multi-objectives -- University Course Timetabling Using ACO: A Case Study on Laboratory Exercises -- Machine Learning and Classical AI -- Nonparametric Statistical Analysis of Machine Learning Algorithms for Regression Problems -- Adaptive Learning of Nominal Concepts for Supervised Classification -- A Novel Approach of Process Mining with Event Graph -- A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks -- Coaching to Enhance the Online Behavior Learning of a Robotic Agent -- Agent and Multi-agent Systems -- Cooperation of AGVs' Head-on Collision Avoidance by Knowledge Exchange in Autonomous Decentralized FMS -- A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System -- A Proof System for Time-Dependent Multi-agents -- Toward Emotional E-Commerce: Formalizing Agents for a Simple Negotiation Protocol -- Distributed Ant Colony Clustering Using Mobile Agents and Its Effects -- Monitoring a Multi-Agent System Evolution through Iterative Development -- An Agent for Ecological Deliberation -- A Framework to Compute Inference Rules Valid in Agents' Temporal Logics -- Statecharts-Based JADE Agents and Tools for Engineering Multi-Agent Systems -- Telco Agent: Enabler of Paradigm Shift towards Customer-Managed Relationship -- Multi-attribute Auction Model for Agent-Based Content Trading in Telecom Markets -- Applying Possibility and Belief Operators to Conditional Statements -- A Computer Adaptive Testing Method for Intelligent Tutoring Systems -- Intelligent Vision, Image Processing and Signal Processing -- Combining Patient Metadata Extraction and Automatic Image Parsing for the Generation of an Anatomic Atlas -- Parallel Processing with CUDA in Ceramic Tiles Classification -- Signal Receiving and Processing Platform of the Experimental Passive Radar for Intelligent Surveillance System Using Software Defined Radio Approach -- Automated Anticounterfeiting Inspection Methods for Rigid Films Based on Infrared and Ultraviolet Pigments and Supervised Image Segmentation and Classification -- Vowel Recognition by Using the Combination of Haar Wavelet and Neural Network -- Bayesian Classification Using DCT Features for Brain Tumor Detection -- A New Strategy of Adaptive Nonlinear Echo Cancelling Volterra-Wiener Filter Structure Selection -- Intelligent System for Commercial Block Recognition Using Audio Signal Only -- Viewpoint Insensitive Actions Recognition Using Hidden Conditional Random Fields -- Fuzzy Hyper-Prototype Clustering -- Knowledge Management, Ontologies and Data Mining -- Clustering Using Difference Criterion of Distortion Ratios -- Computer-Generated Conversation Based on Newspaper Headline Interpretation -- Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities -- Enhancing the Symbolic Aggregate Approximation Method Using Updated Lookup Tables -- Which XML Storage for Knowledge and Ontology Systems? …”
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