Batch processing
View article: O3; Laboratory report on solar/NSSM treatment of selected PFAS in batch reactor
O3; Laboratory report on solar/NSSM treatment of selected PFAS in batch reactor Open
Datasets obtaiend within SoAPperF project.
View article: Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization Open
Federated learning (FL) and split learning (SL) are two effective distributed learning paradigms in wireless networks, enabling collaborative model training across mobile devices without sharing raw data. While FL supports low-latency para…
View article: Application of Artificial Intelligence for Prediction, Monitoring, Optimization and Control of Anaerobic Digestion Processes—A Review
Application of Artificial Intelligence for Prediction, Monitoring, Optimization and Control of Anaerobic Digestion Processes—A Review Open
Artificial intelligence (AI) has emerged as an innovative approach to the computer modeling and optimization of anaerobic digestion (AD) and anaerobic co-digestion (AcoD) processes. AI-based algorithms are ideally suited to capture the com…
View article: Efficient Degradation of Carbamazepine in Continuous and Batch Modes by Laccase-Photo-Fenton-Intensified Hybrid Treatment
Efficient Degradation of Carbamazepine in Continuous and Batch Modes by Laccase-Photo-Fenton-Intensified Hybrid Treatment Open
View article: CircuiTikZ LaTeX Circuits Dataset (5k code-image pairs)
CircuiTikZ LaTeX Circuits Dataset (5k code-image pairs) Open
This dataset contains 5k CircuiTikZ circuit diagrams paired with their rendered images. Dataset Contents The dataset is split into 10 batch files for easier downloading: circuitikz_batch_XXX.zip: Batches of code-image pairs (each contains …
View article: Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model
Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model Open
View article: Mitigating cathode biofouling in membrane-less MFCs using CuO-doped activated carbon: a comparative study of batch and continuous modes
Mitigating cathode biofouling in membrane-less MFCs using CuO-doped activated carbon: a comparative study of batch and continuous modes Open
A membrane-less microbial fuel cell system was developed and evaluated using CuO-incorporated activated carbon (CuO/AC) cathodes designed for dual functionality: enhanced oxygen reduction reaction activity and antibacterial performance. Cu…
View article: Adaptive Closed-Loop Control System for the Optimization of Tablet Manufacturing Processes
Adaptive Closed-Loop Control System for the Optimization of Tablet Manufacturing Processes Open
Background: Tablet manufacturing is challenged by strong dynamic coupling of process parameters, significant material property fluctuations, and delayed quality control, with tablet weight stability being particularly critical in high-spee…
View article: $$\uplambda \text {-}\hspace{2pt}\mathcal {CLOVR}$$: looking for a needle in a haystack: a content-based video big data retrieval system in the cloud
$$\uplambda \text {-}\hspace{2pt}\mathcal {CLOVR}$$: looking for a needle in a haystack: a content-based video big data retrieval system in the cloud Open
The rapid proliferation of video data from various sources underscore the pressing need for effective Content-based Video Retrieval (CBVR) systems. Traditional retrieval methodologies are increasingly inadequate for managing the complexiti…
View article: Beyond ANOVA: A Structural Equation Modeling and Ensemble Machine Learning Approach to Batch Reactor Process Optimization
Beyond ANOVA: A Structural Equation Modeling and Ensemble Machine Learning Approach to Batch Reactor Process Optimization Open
Background: Batch reactor process optimization has traditionally relied on Analysis of Variance (ANOVA) for factor effect quantification. However, Structural Equation Modeling (SEM) and machine learning (ML) offer complementary mechanistic…
View article: Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows
Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows Open
Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O, and task failures due to out-of-memory errors. Simple stati…
View article: Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows
Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows Open
Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O, and task failures due to out-of-memory errors. Simple stati…
View article: An Aligned Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size
An Aligned Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size Open
In serial batch (s-batch) scheduling, jobs from similar families are grouped into batches and processed sequentially to avoid repetitive setups that are required when processing consecutive jobs of different families. Despite its large suc…
View article: An Aligned Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size
An Aligned Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size Open
In serial batch (s-batch) scheduling, jobs from similar families are grouped into batches and processed sequentially to avoid repetitive setups that are required when processing consecutive jobs of different families. Despite its large suc…
View article: Code related to "Climate Change Will Increase High Temperature Risks, Degradation, and Costs of Rooftop Photovoltaics Globally"
Code related to "Climate Change Will Increase High Temperature Risks, Degradation, and Costs of Rooftop Photovoltaics Globally" Open
# SolarPVDegradationClimateChange This is the Code repository for publication on accelerating degradation of rooftop solar photovoltaics under climate change. Download the dateset through the link as described in 'data section' (not her…
View article: tahagill/Phredator: Phredator v1.0.0 - Initial Release
tahagill/Phredator: Phredator v1.0.0 - Initial Release Open
Phredator v1.0.0 — Intelligent QC Toolkit for NGS Data Smart, context-aware quality control and reporting tool for Next-Generation Sequencing (NGS) data — with built-in biological knowledge and actionable recommendations. Key Features 25+ …
View article: ArFelker/SpotAnalyzer: SpotAnalyzer v1.0.0 - Initial Release
ArFelker/SpotAnalyzer: SpotAnalyzer v1.0.0 - Initial Release Open
SpotAnalyzer v1.0.0 First release of SpotAnalyzer for automated nanodot quantification in TIRF microscopy.Features 7-step interactive GUI workflow Multi-channel analysis (bait + prey) Automated drift correction Bait-specific contrast calcu…
View article: ArFelker/SpotAnalyzer: SpotAnalyzer v1.0.0 - Initial Release
ArFelker/SpotAnalyzer: SpotAnalyzer v1.0.0 - Initial Release Open
SpotAnalyzer v1.0.0 First release of SpotAnalyzer for automated nanodot quantification in TIRF microscopy.Features 7-step interactive GUI workflow Multi-channel analysis (bait + prey) Automated drift correction Bait-specific contrast calcu…
View article: ma-wi-lo/pubs: v1.0.0 - Initial Public Release
ma-wi-lo/pubs: v1.0.0 - Initial Public Release Open
OCR Pipeline for Historical Print Periodicals using Mistral AI Publication-ready OCR pipeline for batch processing scanned historical periodicals. Features Structured OCR with Markdown formatting preserving document layou…
View article: Polymeric Iridium Catalysts for C–H Borylation of Arenes under Batch and Continuous Flow Conditions
Polymeric Iridium Catalysts for C–H Borylation of Arenes under Batch and Continuous Flow Conditions Open
Arylboronates are key intermediates in the synthesis of pharmaceuticals and functional materials, yet their direct C–H borylation typically requires air-sensitive homogeneous iridium catalysts, limiting catalyst recovery and scalability. H…
View article: ma-wi-lo/pubs: V.1.0.1 Initial Public Release
ma-wi-lo/pubs: V.1.0.1 Initial Public Release Open
OCR Pipeline for Historical Print Periodicals using Mistral AI Publication-ready OCR pipeline for batch processing scanned historical periodicals. Features Structured OCR with Markdown formatting preserving document layou…
View article: OCR Pipeline for Historical Print Periodicals using Mistral AI
OCR Pipeline for Historical Print Periodicals using Mistral AI Open
Publication-ready OCR pipeline for batch processing scanned historical periodicals. Features Structured OCR with Markdown formatting preserving document layout Automatic PDF splitting for large files (>50 MB or >1000 pages) SQLite checkpoi…
View article: OCR Pipeline for Historical Print Periodicals using Mistral AI
OCR Pipeline for Historical Print Periodicals using Mistral AI Open
Publication-ready OCR pipeline for batch processing scanned historical periodicals. Features Structured OCR with Markdown formatting preserving document layout Automatic PDF splitting for large files (>…
View article: A Scalable, Event-Driven Architecture for High-Volume Document Ingestion and Real-Time AI Processing
A Scalable, Event-Driven Architecture for High-Volume Document Ingestion and Real-Time AI Processing Open
The migration of enterprise agreement and document management systems towards intelligent automation (IA) necessitates robust architectures capable of handling massive ingestion volume while ensuring data integrity and low-latency AI model…
View article: Beyond ANOVA: A Structural Equation Modeling and Ensemble Machine Learning Approach to Batch Reactor Process Optimization
Beyond ANOVA: A Structural Equation Modeling and Ensemble Machine Learning Approach to Batch Reactor Process Optimization Open
Background: Batch reactor process optimization has traditionally relied on Analysis of Variance (ANOVA) for factor effect quantification. However, Structural Equation Modeling (SEM) and machine learning (ML) offer complementary mechanistic…
View article: A Scalable, Event-Driven Architecture for High-Volume Document Ingestion and Real-Time AI Processing
A Scalable, Event-Driven Architecture for High-Volume Document Ingestion and Real-Time AI Processing Open
The migration of enterprise agreement and document management systems towards intelligent automation (IA) necessitates robust architectures capable of handling massive ingestion volume while ensuring data integrity and low-latency AI model…
View article: Beyond ANOVA: A Structural Equation Modeling and Ensemble Machine Learning Approach to Batch Reactor Process Optimization
Beyond ANOVA: A Structural Equation Modeling and Ensemble Machine Learning Approach to Batch Reactor Process Optimization Open
ABSTRACT Background: Batch reactor process optimization has traditionally relied on Analysis of Variance (ANOVA) for factor effect quantification. However, Structural Equation Modeling (SEM) a…
View article: A Scalable, Event-Driven Architecture for High-Volume Document Ingestion and Real-Time AI Processing
A Scalable, Event-Driven Architecture for High-Volume Document Ingestion and Real-Time AI Processing Open
The migration of enterprise agreement and document management systems towards intelligent automation (IA) necessitates robust architectures capable of handling massive ingestion volume while ensuring data integrity and low-latency AI model…
View article: Automated Optimization of Bioreactor Fermentation Processes via Multi-Modal Data Fusion and Adaptive Control (AOF-MFC)
Automated Optimization of Bioreactor Fermentation Processes via Multi-Modal Data Fusion and Adaptive Control (AOF-MFC) Open
**Abstract:** This paper introduces Automated Optimization of Bioreactor Fermentation Processes via Multi-Modal Data Fusion and Adaptive Control (AOF-MFC), a novel framework to significantly enhance biopharmaceutical production yields and …
View article: Automated Optimization of Bioreactor Fermentation Processes via Multi-Modal Data Fusion and Adaptive Control (AOF-MFC)
Automated Optimization of Bioreactor Fermentation Processes via Multi-Modal Data Fusion and Adaptive Control (AOF-MFC) Open
**Abstract:** This paper introduces Automated Optimization of Bioreactor Fermentation Processes via Multi-Modal Data Fusion and Adaptive Control (AOF-MFC), a novel framework to significantly enhance biopharmaceutical production yields and …