Zayd Ajzan Salami

AI-Designed Magnetic Soft Matter for Shape-Shifting Electronics

Zayd Ajzan Salami, Saif Obayd Husayn, V. Akila, F. F. Tairova et autres

This paper presents an industry-relevant, innovative, AI-driven framework for designing magnetic soft matter with dynamic shape-shifting functionalities for next-generation adaptive electronics. Traditional flexible electronics do not have autonomous reconfigurability, which has comparatively limited circumstances of use in wearable, robotics, and biomedical devices. …

Nanocellulose: The green gold of material science

Shriyal Jamwal, Hardeep Kaur, Kashish Garg, Anjali Verma et autres

in, iq, cl (code pays fourni par la source)

Wireless Network Virtualization for On-Demand Internet Provisioning

Dr.C. Nallusamy, A. Aqeel, Zayd Ajzan Salami, Dinesh Kumar et autres

Wireless Network Virtualization (WNV) and its integration with on-demand Internet provisioning shift the paradigm of network resource allocation, management, and consumption. WNV permits the disassociation of a physical radio infrastructure with entities that operate virtually in a network. This disassociation enables the …

iq (code pays fourni par la source)

Personalised Nutritional Guidance via AI-Powered Real-Time Metabolic Tracking

A. Buckshumiyan, Zayd Ajzan Salami, Arvind Kumar Tiwari, Chodishetty Deepika et autres

The development of personalised nutrition has been linked to the advent of digital health technology, yet the majority of new propositions address physiological indicators and offer reactive recommendations. The paper presents a new platform, the Adaptive Multi-Contextual Digital Twin Nutrition Assistant, capable …

in, iq, uz (code pays fourni par la source)

Adaptive Context-Aware Vision-Based Quality Inspection Using Multi-Modal Deep Learning in Robotic Systems

Zayd Ajzan Salami, Utkarsh Anand, Garifullina Alsu Robert Kizi, S Jeyanthi et autres

The concept of Edge Cognitive Cohorts presents an edge computing concept that is privacy-aware that delivers retail personalization in real time. It does not follow individual shoppers, rather it creates a temporary micro-group (cohorts) of consumers sharing similar behaviors including movement patterns, …

iq, in, uz, us (code pays fourni par la source)

AI-Powered Collaborative Robotics for Next-Gen Industrial Automation

M. Ramya, S. Subburam, Pushplata Patel, J. Seetaram et autres

The runaway development of Industry 4.0 has brought very interconnected, intelligent, and automated production systems in place, but conventional robotics based on rules cannot react to dynamic production conditions, unpredictable working processes, and real-time disruptions, which tend to result in lower efficiency, …

in, iq (code pays fourni par la source)

Modelling Crop Yield Prediction with Random Forest and Remote Sensing Data

Zayd Ajzan Salami, Bekzod Babamuratov, V. Ayyappan, N. Prabakaran et autres

Ensemble learning methods combined with remote sensing data can optimize yield forecasting and provide real-time insights for decision-making. In predictive agriculture, having predictive accuracy over crop yield is essential for managing food security and adapting to climate change. This study aims to …

iq, uz, in (code pays fourni par la source)

Fast Fourier Transform Optimization Algorithm for Real-time Audio Signal Processing Applications

Zayd Ajzan Salami, R. Velmurugan, G. R. Sakthidharan, D. Beula

To handle audio inputs in real time, high-performance algorithms capable of precise spectral analysis and low latency are required. This is necessary to get the intended outcome. Despite older implementations' sometimes limited processing speed and hardware economy, the Fast Fourier Transform (FFT) …

iq, in (code pays fourni par la source)

Deep Reinforcement Learning for Optimized Energy Harvesting in Wireless Sensor Networks

Asheesh Kharya, Ch. Vidyadhari, Zayd Ajzan Salami, Azibaev Akhmadkhon Gulomjon Ugli et autres

The authors present an innovative energy harvesting management solution for Wireless Sensor Networks using Deep Reinforcement Learning algorithms. Limited energy resources in Wireless Sensor Networks demand critical energy-efficient strategies to extend their operational lifespan while maintaining reliable operation. By using DRL-based technology …

in, iq, de (code pays fourni par la source)

Customer Behaviour Analysis and Personalized Marketing using Bidirectional Long Short-Term Memory with eXtreme Gradient Boosting

Srinivasa Rao Bittla, Sai Vishwesh Vuthuri, Zayd Ajzan Salami, Ganesh Raghu et autres

In recent years, e-commerce business evolved rapidly due to rise in smart shopping platforms and Artificial Intelligence (AI) advertisements. Predicting the customers purchase intent is important in this era for recommending best products and increasing purchase conversions. Even though, previous researchers have …

it, iq, in (code pays fourni par la source)

Customer Behaviour Analysis and Personalized Marketing Using Bidirectional Long Short-Term Memory with Extreme Gradient Boosting

Srinivasa Rao Bittla, Sai Vishwesh Vuthuri, Zayd Ajzan Salami, Ganesh Raghu et autres

In recent years, e-commerce business evolved rapidly due to rise in smart shopping platforms and Artificial Intelligence (AI) advertisements. Predicting the customers purchase intent is important in this era for recommending best products and increasing purchase conversions. Even though, previous researchers have …

it, iq, in (code pays fourni par la source)

Classification of Network Traffic by using Random Forest based Grid Search for Side-Channel Attacks Detection

S. Aruna, Zayd Ajzan Salami, Sasikumar Gurumoorthy, Yogesh Ramaswamy et autres

In recent years, the smartphone-based Side-Channel Attacks (SCA) are common in this developing technological world. It exploits unintended information leakage such as extract sensitive information like PINs, passwords or keys, without hacking the device code directly. However, detecting SCAs was the most …

in, iq (code pays fourni par la source)