Information Intelligence: Recent submissions
Now showing items 1-20 of 105
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Reinforcement Learning Assisting Artificial Bee Colony Algorithm for Scheduling Distributed Assembly Flowshops With Batch Delivery
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)In response to escalating market demands, we extend the distributed assembly flowshop problems (DAFSPs) by incorporating batch delivery, optimizing both total energy consumption (TEC) and total completion time, simultaneously. ... -
Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers
( Elsevier , 2025 , Article)Forward regularization (-F) with unsupervised knowledge was advocated to replace canonical Ridge regularization (-R) in online linear learners, as it achieved a lower relative regret boundary. However, we observe that -F ... -
Learning strategies for particle swarm optimizer: A critical review and performance analysis
( Elsevier , 2025 , Article)Nature has long inspired the development of swarm intelligence (SI), a key branch of artificial intelligence that models collective behaviors observed in biological systems for solving complex optimization problems. Particle ... -
A comprehensive survey of adaptive strategies in differential evolutionary algorithms
( Elsevier , 2025 , Article)Classical differential evolution (DE) encounters premature convergence when dealing with diverse optimization problems. This challenge has encouraged extensive research efforts aimed at improving and enhancing the original ... -
A reinforcement learning-assisted genetic programming algorithm for team formation problem considering person-job matching
( Elsevier , 2025 , Article)Efficient team formation is crucial for successful completion of new projects in a company. To address the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer programming model with intuitionistic ... -
Carbon footprint of global Bitcoin mining: emissions beyond borders
( Springer , 2025 , Article)Executing a single Bitcoin transaction equates approximately to the greenhouse gas emissions of a moderate-sized electric or gasoline engine sedan vehicle traveling between 1600 and 2600 km. This research undertakes an ... -
Insects in agricultural greenhouses: a metagenomic analysis of microbes in Trialeurodes vaporariorum infesting tomato and cucumber crops
( Frontiers Media SA , 2025 , Article)Introduction: With the predicted 9-10 billion world population increase by 2050 and its accompanying need for sustainable food production, and with the harsh climate conditions challenging agriculture and food security in ... -
A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment
( Elsevier , 2025 , Article)In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in determining the system’s performance. Therefore, addressing the sensor layout problem (SLP) within the MSPS is an essential approach ... -
Complementary Learning Subnetworks towards Parameter-Efficient Class-Incremental Learning
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new classes over time. To mitigate the catastrophic ... -
Euclidean and Poincaré space ensemble Xgboost
( Elsevier , 2024 , Article)The Hyperbolic space has garnered attention for its unique properties and efficient representation of hierarchical structures. Recent studies have explored hyperbolic alternatives to hyperplane-based classifiers, such as ... -
Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment
( Elsevier , 2025 , Article)Accurate volatility forecasting is crucial for the efficient management of financial systems. However, the dynamic nature and significant variability in financial time series data pose substantial challenges to achieving ... -
Stacked Ensemble Deep Random Vector Functional Link Network with Residual Learning for Medium-Scale Time-Series Forecasting
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks (NNs). However, existing edRVFL ... -
Evaluation of combined genome assemblies: A case study with fungal genomes
( Springer , 2015 , Conference)The rapid advances in genome sequencing leads to the generation of huge amount of data in a single sequencing experiment. Several genome assemblers with different objectives were developed to process these genomic data. ... -
Anonymizing transactional datasets
( IOS Press , 2015 , Article)In this paper, we study the privacy breach caused by unsafe correlations in transactional data where individuals have multiple tuples in a dataset. We provide two safety constraints to guarantee safe correlation of the ... -
Securing Aggregate Queries for DNA Databases
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)This paper addresses the problem of sharing person-specific genomic sequences without violating the privacy of their data subjects to support large-scale biomedical research projects. The proposed method builds on the ... -
Battery-Induced Load Hiding and Its Utility Consequences
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ... -
RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)This paper introduces a novel residual-based model to identify households with Battery Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy demands of AC units can obscure charging events ... -
Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data
( IEEE Computer Society , 2023 , Conference)The Smart Grid Advanced Metering Infrastructure (AMI) has revolutionized the smart grid network, generating vast amounts of data that can be utilized for diverse objectives, one of which is Household Characteristics ... -
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
( Frontiers Media S.A. , 2020 , Article)Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present ... -
A resource provisioning framework for bioinformatics applications in multi-cloud environments
( Elsevier , 2018 , Article)The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ...
