126 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Henan Agricultural UniversityCN2 papers
- Universiti Malaysia TerengganuMY2 papers
- University of TehranIR2 papers
- Annai Velankanni College1 paper
- Baird InstituteAU1 paper
- Banasthali UniversityIN1 paper
- Bharathidasan UniversityIN1 paper
- Chaitanya Bharathi Institute of TechnologyIN1 paper
- Chinese Academy of Agricultural SciencesCN1 paper
- École Nationale Supérieure des Arts et Industries TextilesFR1 paper
- GNA UniversityIN1 paper
- Government College University, LahorePK1 paper
15 papers
Hybrid DeepXAI Fusion Network for Interpretable Big Data Analytics and Secure Cloud Decision-Making Systems
B. Nancharaiah, Ramakrishna Kolikipogu, J. Sulthan Alikhan +3
Big data analytics supports modern intelligent systems, but model complexity and limited transparency can undermine interpretability, trust, and security in decision-making. This p…
Sliding properties of Transition Metal Dichalcogenide bilayers
Pier Luigi Silvestrelli, S. Subashchandrabose, Alberto Ambrosetti +1
Transition-metal dichalcogenides (TMDs) are valuable as solid lubricants because of their layered structure, which allows for easy shearing along the basal planes. Using Density Fu…
Emergence of spin-mixed superstripe phases in spin-orbit coupled spin-1 condensate
Sanu Kumar Gangwar, Rajamanickam Ravisankar, Paulsamy Muruganandam +1
We numerically investigate the ground state phases and quench dynamics of spin-orbit coupled spin-1 Bose-Einstein condensates with ferromagnetic and antiferromagnetic interactions.…
An efficient plant disease detection using transfer learning approach
Bosubabu Sambana, Hillary Sunday Nnadi, Mohd Anas Wajid +4
Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to mitigating their effects and pr…
Acid Base Chemistry of Short Hydrogen Bonds: A Tale of Schrödinger's Cat in Glutamine-Derived Crystals
Muhammad Nawaz Qaisrani, Nandha Kumar, Christian Dreßler +2
Short hydrogen bonds (SHBs), defined by donor-acceptor distances below 2.5 Angstrom, represent a distinct regime in acid-base chemistry where conventional models of hydrogen bondin…
ZnO@C/PVDF Electrospun Membrane as Piezoelectric Nanogenerator for Wearable Applications
Anshika Bagla, Kaliyan Hembram, François Rault +4
The rapid growth of wearable technology demands sustainable, flexible, and lightweight energy sources for various applications ranging from health monitoring to electronic textiles…
Some inequalities for spectral geometric mean with applications
Shigeru Furuichi, Yuki Seo
Recently, the spectral geometric mean has been studied by some papers. In this paper, we firstly estimate the Hölder type inequality of the spectral geometric mean of positive inve…
Modelling the dynamics of online food delivery services on the spread of food-borne diseases
Emmanuel Addai, Delfim F. M. Torres, Zalia Abdul-Hamid +2
We propose and analyze a deterministic mathematical model for the transmission of food-borne diseases in a population consisting of humans and flies. We employ the Caputo operator…
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations
Kapilya Gangadharan, K. Malathi, Anoop Purandaran +3
This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy of Recommendation Systems (RS), particularly in the context of their growing signifi…
An Enhanced Analysis of Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function
Ayad Ghany Ismaeel, S. J. Jereesha Mary, C. Anitha +4
Smart cities have revolutionized urban living by incorporating sophisticated technologies to optimize various aspects of urban infrastructure, such as transportation systems. Effec…
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm
P. Kalaiselvi, S. Anusuya
In recent days, Deep Learning (DL) techniques have become an emerging transformation in the field of machine learning, artificial intelligence, computer vision, and so on. Subseque…
Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach
Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian +7
Chemical and biomass processing systems release volatile matter compounds into the environment daily. Catalytic reforming can convert these compounds into valuable fuels, but devel…
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee +7
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile hydrochar without the need for prior drying. The physicochemical properties of hydrochar are infl…
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network
P. Deivendran, P. Suresh Babu, G. Malathi +2
Human communication is the vocal and non verbal signal to communicate with others. Human expression is a significant biometric object in picture and record databases of surveillanc…
Strategy for Rapid Diabetic Retinopathy Exposure Based on Enhanced Feature Extraction Processing
V. Banupriya, S. Anusuya
In the modern world, one of the most severe eye infections brought on by diabetes is known as diabetic retinopathy, which will result in retinal damage, and, thus, lead to blindnes…