yusuke1997/dblp-id-title huggingface dataset:
Optimal soft error mitigation in wireless communication using approximate logic circuits
Thermal benefit of multi-core floorplanning: A limits study
Introduction to special issue on Software Engineering Aspects of Green Computing (SEAGC)
Enhancing dependability and energy efficiency of cyber-physical systems by dynamic actuator derating
New energy vehicles and sustainability of energy development: Construction and application of the Multi-Level Perspective framework in China
Online fault tolerant energy-aware algorithm for CubeSats
Performance and energy metrics for multi-threaded applications on DVFS processors
Tradeoff between energy and throughput for online deadline scheduling
Energy efficient data gathering using mobile sink in IoT for reliable irrigation
Introduction to special issue on Selected papers from EE-LSDS2013 Conference
F2S-WSS: A forecast-driven two-stage workload scheduling scheme for carbon-aware geo-distributed data centers with wind power integration
IoT, big data and HPC based smart flood management framework
An approach for managing the Internet of things' resources to optimize the energy consumption using a nature-inspired optimization algorithm and Markov model
Using transient thermal models to predict cyberphysical phenomena in data centers
Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans
Machine intelligence approach: To solve load balancing problem with high quality of service performance for multi-controller based Software Defined Network
A comparative analysis of converters performance using various control techniques to minimize the torque ripple in BLDC drive system
Feasibility of using renewable energy to supply data centers in 60° north latitude
Tweaked optimization based quality aware VM selection method for effectual placement strategy
Energy and latency reductions at the fog gateway using a machine learning classifier
Improving energy efficiency in WSN through adaptive memetic-based clustering and routing for resource management
Scheduling workloads in a network of datacentres to reduce electricity cost and carbon footprint
Intelligent data science enabled reactive power optimization of a distribution system
An N - policy M/M/1 queueing model for energy saving mechanism in Networks
Minus HELLO: HELLO Devoid Protocols for Energy Preservation in Mobile Ad-hoc Networks
Efficient QCA-Based Circuits for Low-Power Medical IoT System
FPGA based intelligent embedded system for predicting the productivity using fuzzy logic
Discrete controller synthesis applied to smart greenhouse
ETNAS: An energy consumption task-driven neural architecture search
Multi-objective energy-efficient power system scheduling using Stochastic State Space Model and reinforcement learning
Distributed temperature-aware resource management in virtualized data center
Sustainable supply chain management: A green computing approach using deep Q-networks
A review on optimization strategies integrating renewable energy sources focusing uncertainty factor - Paving path to eco-friendly smart cities
Improving energy efficiency in colocation data centers for demand response
A conceptual framework for the implementation of Industry 4.0 in legal informatics
Power management for smart grids integrating renewable energy sources using Greylag goose optimization and anti-interference dynamic integral neural network
Energy and carbon-aware initial VM placement in geographically distributed cloud data centers
CMDP based adaptive power management in server clusters
Multi-objective optimization of space adaptive division for environmental economic dispatch
Interact: IT infrastructure energy and cost analyzer tool for data centers
Improving energy efficiency and fault tolerance of mission-critical cloud task scheduling: A mixed-integer linear programming approach
Artificial intelligence-powered visual internet of things in smart cities: A comprehensive review
Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks
An energy-efficient queuing mechanism for latency reduction in multi-threading
DyUnS: Dynamic and uncertainty-aware task scheduling for multiprocessor embedded systems
Improved Genetic Algorithm with Local Search for Satellite Range Scheduling System and its Application in Environmental monitoring
Parallel computing for the topology optimization method: Performance metrics and energy consumption analysis in multiphysics problems
Mobile crowd sensing based dynamic traffic efficiency framework for urban traffic congestion control
Short term load forecasting using optimized deep learning based weighted DenseBiGRU for smart grids
RL-Sleep : Temperature Adaptive Sleep Scheduling using Reinforcement Learning for Sustainable Connectivity in Wireless Sensor Networks
PSOGSA: A parallel implementation model for data clustering using new hybrid swarm intelligence and improved machine learning technique
Corrigendum to "A genetic algorithm based approach for multi-objective hardware/software co-optimization" [J. Sustain. Comput.: Inform. Syst. 10 (2016) 36-47]
A LIME-LSTSNM approach based green building sustainability prediction using BIM design
A fault-tolerant and energy-efficient design of RAM cell and PIM structure in quantum technology
Artificial neural network controller based cleaner battery-less fuel cell vehicle with EF 2 resonant DC-DC converter
BGSA: Broker Guided Service Allocation in Federated Cloud
A survey on energy aware VM consolidation strategies
Energy-efficient blockchain-integrated IoT and AI framework for sustainable urban microclimate management
A systematic review on techniques and approaches to estimate mobile software energy consumption
Decoupling analysis and peak prediction of carbon emission based on decoupling theory
Improved sensor localization with intelligent trust model in heterogeneous wireless sensor network in Internet of Things (IoT) environment
A green SLA constrained scheduling algorithm for parallel/scientific applications in heterogeneous cluster systems
An efficient urban localization method based on speed humps
An efficient multi-objective task scheduling for Green cloud computing using hybrid GSCOA algorithm
Introduction to special issue on sustainable computing for ultrascale computing
The product marketing model of the economic zone by the sensor big data mining algorithm
A predictive analytics framework for Sustainable Water Governance
Toward an architecture for integrated gas district cooling with data center control to reduce CO 2 emission
On wavelet transform based convolutional neural network and twin support vector regression for wind power ramp event prediction
Clustering-cum-Handover Management Scheme for improved Internet access in high-density mobile wireless environments
Corrigendum to "An automated low cost IoT based Fertilizer Intimation System for smart agriculture" [Sustain. Comput.: Inf. Syst. 28 (2020) 100300]
Optimizing regional energy systems with concentrated solar power for enhanced efficiency, sustainability, and cost-effective energy management
Marine high-tech Enterprise ecosystem based on sustainable development
Enhancing micro grid sustainability: Genetic-driven reptile search algorithm based carbon emission and cost reduction strategy
Energy consumption of TAGS in a heterogeneous environment under unknown service demand
Qualifying for the Green500: Experience with the newest generation of supercomputers at LANL
A survey of empirical studies on persuasive technologies to promote sustainable living
An energy efficient fog-based internet of things framework to combat wildlife poaching
Development of new ontological solution for an energy intelligent management in Adrar city
A combined frequency scaling and application elasticity approach for energy-efficient cloud computing
Dynamic capacitated facility location problem in mobile renewable energy charging stations under sustainability consideration
Smart teledentistry healthcare architecture for medical big data analysis using IoT-enabled environment
QuARES: A quality-aware renewable energy-driven sensing framework
ETFC: Energy-efficient and deadline-aware task scheduling in fog computing
Blockchain in churn prediction based telecommunication system on climatic weather application
A multi-faceted optimization scheduling framework based on the particle swarm optimization algorithm in cloud computing
Smart traffic routing and service allocation strategy to reduce water consumption in data centers through power reduction
Ultra low power offering 14 nm bulk double gate FinFET based SRAM cells
Retraction notice to 'Deep learning-based energy inefficiency detection in the smart buildings' [Sustainable Computing: Informatics and Systems 40 (2023) 100921]
Modeling, classifying and generating large-scale Google-like workload
A heuristic task scheduling algorithm based on server power efficiency model in cloud environments
Energy-efficient Load Balanced Edge Computing model for IoT using FL-HMM and BOA optimization
Editorial Preface: Special issue on sustainable computing for cyber-physical systems
Container-based load balancing for energy efficiency in software-defined edge computing environment
Economic and environmental multi-objective functions modeling in storage systems-based hybrid energy microgrid with demand side management strategy
Dynamics of soil water content using field monitoring and AI: A case study of a vegetated soil in an urban environment in China
Supervisory control and data acquisition for Standalone Hybrid Power Generation Systems
Simulation and real-time implementation of a combined control strategy-based shunt active power filter in microgrid
Congestion control in Internet of Things: Classification, challenges, and future directions
Energy-efficiency optimization and the comparative performance analysis for Wireless Body Area Networks (WBANs)
Research on carbon emission reduction in road freight transportation sector based on regulation-compliant route optimization model and case study
Introduction to special issue on Computing for a Greener Water/Energy/Emissions Nexus
A mMSA-FOFPID controller for AGC of multi-area power system with multi-type generations
Delivering ancillary services with data centres
Analyzing the impact of electricity price forecasting on energy cost-aware scheduling
A lightweight dynamic optimization methodology and application metrics estimation model for wireless sensor networks
Bi-objective energy-efficient scheduling in a seru production system considering reconfiguration of serus
A novel four-tier architecture for delay aware scheduling and load balancing in fog environment
An IEEE 802.11 energy efficient mechanism for continuous media applications
Leveraging weather forecasts in renewable energy systems
Fast resource scaling in elastic clusters with an agile method for demand estimation
Comparison of simulators for assessing the ability to sustain wireless sensor networks using dynamic network reconfiguration
Cooperative in-network computation in energy harvesting device clouds
Unified datacenter power management considering on-chip and air temperature constraints
A CNN encoder decoder LSTM model for sustainable wind power predictive analytics
Data center power and performance optimization through global selection of P-states and utilization rates
Energy-efficient routing and predictive sink mobility in mobile wireless sensor networks using reflection equivariant quantum neural network and star fish optimization algorithms
Reauthentication scheme for mobile wireless sensor networks
Hybrid approach for virtual machine allocation in cloud computing
Secured and effective task scheduling in cloud computing using Levy Flight - Secretary Bird Optimization and Hash-based Message Authentication Code - Secure Hash Authentication 256
Evaluation and prediction on total factor productivity of Chinese petroleum companies via three-stage DEA model and time series neural network model
New universal sustainability metrics to assess edge intelligence
Prediction method of environmental pollution in smart city based on neural network technology
Sustainable embedded software and systems
Systems thinking for developing sustainable complex smart cities based on self-regulated agent systems and fog computing
Integration of Internet of Things blockchain and artificial intelligence for scalable and secure precision environmental management
Special issue on 'Emerging trends in sustainable computing for pervasive and mobile intelligence'
A certain examination on heterogeneous systolic array (HSA) design for deep learning accelerations with low power computations
Reliability-oriented resource management for High-Performance Computing
DDoS attack detection: A key enabler for sustainable communication in internet of vehicles
A new classifier ensemble methodology based on subspace learning
A comprehensive conceptual analysis using ER and conceptual graphs
Towards dependable development tools for embedded systems: a case study in software verification
Spectral feature and optimization- based actor-critic neural network for arrhythmia classification using ECG signal
Blockchain based holistic trust management protocol for ubiquitous and pervasive IoT network
Volatility forecasting for low-volatility portfolio selection in the US and the Korean equity markets
A novel approach to interval comparison and application to software quality evaluation
Performance of software agents in non-transferable payoff group buying
Solving constrained optimisation problems using the improved imperialist competitive algorithm and Deb's technique
Prediction of fluid interface between dispersed and matrix phases by Lattice Boltzmann-adaptive network-based fuzzy inference system
Special issue: artificial intelligence and machine learning applications in Health Sciences
Knowledge representation issues in default reasoning
Information synthesis based on hierarchical maximum entropy discretization
Explanation-based learning: its role in problem solving
Fine-grained conflict resolution in constraint satisfaction problems
Modelling and simulating early stopping of RCTs: a case study of early stop due to harm
IBR retrieval method based on topology preserving mappings
Temporal reasoning about composite and/or periodic events
Optimisation of welding processes using quasi-oppositional-based Jaya algorithm
Adding upper-bound pruning to IDA*
Cross-paradigm analysis of autonomous agent architecture
An attribute value frequency-based instance weighting filter for naive Bayes
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
On look-ahead and pathology in decision tree learning
The gap between abstract and concrete results in machine learning
Soft constraint problems with uncontrollable variables
Epidemic Prediction using Machine Learning and Deep Learning Models on COVID-19 Data
Prominent feature extraction for review analysis: an empirical study
Measuring an artificial intelligence system's performance on a Verbal IQ test for young children
Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study
Is MT translation? Reflections on a recent assault
Argumentation-enabled interest-based personalised recommender system
Experimental AI systems
Why build a virtual brain? Large-scale neural simulations as jump start for cognitive computing
A new hybrid Pythagorean fuzzy AHP and COCOSO MCDM based approach by adopting artificial intelligence technologies
Hybrid probabilistic-harmony search algorithm methodology in generation scheduling problem
A hybrid multiverse optimisation algorithm based on differential evolution and adaptive mutation
Connectionism and functionalism: the importance of being a subsymbolist
On explaining phenomenal consciousness
Modelling and learning user preferences over sets
On the importance of breaking ties in the relaxed plan heuristic
Improving flexibility in cloud computing using optimal multipurpose particle swarm algorithm with auction rules
Independency relationships and learning algorithms for singly connected networks
ANN design and implementation for real-time object tracking using quadrotor AR.Drone 2.0
Blockchain-based privacy preservation framework for healthcare data in cloud environment
COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy
Identifying stage of Alzheimer disease using multiclass particle swarm optimisation technique
Rheological wall slip velocity prediction model based on artificial neural network
A comparison of fitness-case sampling methods for genetic programming
From theory to simulation: the dynamic political hierarchy in country virtualisation models
Approximate reasoning with credible subsets
Compression of time series by extracting major extrema
Overfitting revisited: an information-theoretic approach to simplifying discrimination trees
Prediction of cardiovascular disease using deep learning algorithms to prevent COVID 19
Finding lost minds
An efficient LP-based admissible heuristic for cost-based abduction
A genetic algorithm for supplier selection problem under collaboration opportunities
Symbiotic organisms search algorithm for dynamic economic dispatch with valve-point effects
A framework of Voronoi diagram for planning multiple paths in free space
Shadow detection of moving objects based on multisource information in Internet of things
The extent of the teacher academic development from the accreditation evaluation system perspective using machine learning
Domain transfer convolutional attribute embedding
Ensemble one-vs-all learning technique with emphatic & rehearsal training for phishing email classification using psychology
Intelligent computational of Experimental Study of Intermittent Feed High-speed Grinding Method utilising PSO basis FEM Solver
The myth of the Turing machine: the failings of functionalism and related theses
An interval-based temporal relational calculus for events with gaps
Early diagnosis of COVID-19 patients using deep learning-based deep forest model
Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines
Organising lexica into analogical grids: a study of a holistic approach for morphological generation under various sizes of data in various languages
A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach
Editorial The Right Stuff
Modification of the Wu-Mendel approach for linguistic summarization
Information and evidence in logic systems
Challenges in discriminating profanity from hate speech
Mechanistic explanations and animal model simulations in neuroscience
Cooperating/distributed grammar systems with hypothesis languages
Byzantine fault tolerance in distributed machine learning: a survey
Functions of expertise in a medical intensive care unit
Locality preserving hashing for fast image search: theory and applications
Solving finite domain constraint hierarchies by local consistency and tree search
Frequencies Wave Sound Particle Swarm Optimisation (FPSO)
A multi-objective placement of phasor measurement units using fuzzified artificial bee colony algorithm, considering system observability and voltage stability
The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour
Detection and classification of landmines using machine learning applied to metal detector data
Distributed symbol formation and processing in connectionist networks
A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks
Lessons learned in integrating sensing into autonomous mobile robot architectures
Introduction to autonomy control software
A novel ensembling method to boost performance of neural networks
Rough set-based approach for automated discovery of censored production rules
Adaptive dynamic probabilistic networks for distributed uncertainty processing
Block-based pseudo-relevance feedback for image retrieval
Role-governed categories
Human reasoning about artificial intelligence
The role of an ant colony optimisation algorithm in solving the major issues of the cloud computing
Probabilistic reference and grounding with PRAGR for dialogues with robots
Entropic boundary conditions towards safe artificial superintelligence
The role of the frame problem in Fodor's modularity thesis: a case study of rationalist cognitive science
Neural network-based multi-view enhanced multi-learner active learning: theory and experiments
Preorder-based triangle: a modified version of bilattice-based triangle for belief revision in nonmonotonic reasoning
Integrating case-based learning and cognitive biases for machine learning of natural language
Minds, models and mechanisms: a new perspective on intentional psychology
Constructing condensed memories in functorial time
Trust estimation of the semantic web using semantic web clustering
A novel structure-exploiting encoding for SAT-based diagnosis
A multi-layer approach to opinion polarity classification using augmented semantic tree kernels
Software-effort estimation with a case-based reasoner
Multi-classifier and meta-heuristic based cache pollution attacks and interest flooding attacks detection and mitigation model for named data networking
Escaping the No Free Lunch Theorem: A Priori Advantages of Regret-Based Meta-Induction
A logic of categorization
A GRASP algorithm based new heuristic for the capacitated location routing problem
Study of classical conditioning in Aplysia through the implementation of computational models of its learning circuit
Low-rank matrix completion and cellular automaton modelling for interpolation
Changing times: a causal theory of probabilistic temporal reasoning
An investigation of solutions for handling incomplete online review datasets with missing values
Research on the evolutionary game of environmental pollution in system dynamics model
Characterization of language learning front informant under various monotonicity constraints
A description logic framework for commonsense conceptual combination integrating typicality, probabilities and cognitive heuristics
The Transition Calculus: a high-level formalism for reasoning about action and change
Cuckoo search (CS)-NFC-based UPQC for compensating voltage sag of nonlinear load
Image steganalysis using Artificial Bee Colony algorithm
Dynamic systems and paradise regained or how to avoid being a calculator
Student's performance prediction based on an improved multi-view hypergraph neural network
Setting up a real 'Chinese Room': an empirical replication of a famous thought experiment
Exploring the No-Function-In-Structure principle
Testing variation of attention capacities in a complex auto-adaptive system: a Stroop task simulation
A mosaic of Chu spaces and Channel Theory I: Category-theoretic concepts and tools
Similarity measures of neutrosophic fuzzy soft set and its application to decision making
Teams in cooperating grammar systems
A refutation of Penrose's Gödelian case against artificial intelligence
Consistent subsets of inconsistent systems: structure and behaviour
Hybrid optimised deep learning-deep belief network for attack detection in the internet of things
Conceptual graph matching: a flexible algorithm and experiments
The observers' paradox: apparent computational complexity in physical systems
Towards a unified account of supervised and unsupervised category learning
Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models
Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
A fuzzy overlay model for mapping adverse event risk in an active war theatre
Content-based image retrieval by classification with reinforcement optimisation evolutionary machine learning with applications
Indian language identification using time-frequency image textural descriptors and GWO-based feature selection
Artificial intelligence: reflecting on the past and looking towards the next paradigm shift