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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Conference Aug 2026

Machine Learning Model for Shipment Delay Prediction

The fast pace of development of e-commerce has elevated the timely delivery as a characteristic element of customer satisfaction and logistics performance. However, there are still delays in shipment because of uncontrollable factors like traffic, weather, operational bottlenecks and network inefficiencies. To overcome...

Pranjul Vishwari, Rajiv N Thakker, Sumit Verma et al. · 0 citations

International Journal of Statistics, Econometrics and Data Analysis Applications

The empirical results indicate that tree-based ensemble models outperform deep learning approaches under the considered dataset conditions and suggest that ensemble machine learning techniques are more suitable for data-constrained environments, where deep learning models may suffer from overfitting.

Lamiaa Fares, Moad El Kharrim, Mohamed Dakkon · 0 citations
Open access Jul 2026

AI Enabled Risk Management in International Logistics Networks

International logistics networks are increasingly exposed to operational, financial, geopolitical, customs, cyber, and environmental risks. Effective risk management is therefore essential for reducing shipment delays, controlling logistics costs, and improving supply chain reliability. This study aims to examine how a...

Purnima Tripura · 0 citations
Review Open access Jul 2026

Analytical and AI-based approaches to weather events in business: a survey

One of the most noticeable aspects of climate change has been the increase in extreme weather events, mostly during recent years. Environmental changes and disasters resulting from these events, including hurricanes, floods, and heat waves, have caused significant ripples across industries. Understanding and minimizing...

Shereen Ali Taie, Farah Yasser Elsayed, Menna Ibrahim Gabr · 0 citations
#artificial intelligence Review Open access Oct 2026

OPTIMIZING MARITIME SUPPLY CHAINS USING ARTIFICIAL INTELLIGENCE AND BIG DATA

Maritime transport carries over 80% of global merchandise trade by volume, yet the sector faces mounting pressure from chokepoint disruptions, port congestion, freight rate volatility and decarbonization mandates. This paper examines how the convergence of artificial intelligence (AI) and big data analytics can optimiz...

Dumitru-Cătălin Vasile · 0 citations
Conference Open access Aug 2026

Predicting Ship Added Mass Coefficient with MACHINE LEARNING: Accuracy, Safety and Cost Savings

Maritime accidents such as capsizing, storm-induced roll resonance, collisions and groundings continue to occur in Bangladesh’s inland and coastal waterways. While these events are usually linked to overloading, weather conditions, and maintenance issues, another important hydrodynamic factor - the Added Mass Coefficie...

M. Kabir, Al-Amin Hossain Seam, Zobair Ibn Awal · 0 citations

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