Manipal University Jaipur

Miniaturized stacked ring Archimedean spiral antenna with a stable radiation pattern for electromagnetic signal monitoring

This manuscript reports the miniaturization of the Archimedean spiral antenna using a stacked ring over a reflector. The Stacked Ring Archimedean Spiral Antenna (SRASA) has been fabricated on a double-sided RO4725JXR dielectric material with a thickness of 0.780 mm. A copper ring...

Synergistic adsorption–photocatalysis in TiO₂/activated carbon composites: optimization of p-nitrophenol degradation and application to real textile wastewater treatment

The photocatalytic degradation of persistent nitro-aromatic pollutants is often limited by poor light utilization and fast electron-hole recombination in conventional TiO 2 systems. In this work, TiO 2 /carbon composites were prepared using activated carbon (AC) and biomass-deriv...

Comparative evaluation of decision tree and random forest models for multi-class water quality classification of the Yamuna river

Monitoring the quality of water in rivers is important for environmental sustainability. This study presents a comparison of Decision Tree (DT) and Random Forest (RF) classifiers for multi-class classification of the water quality of the Yamuna River on the basis of temperature,...

A novel optimized deep ensemble for monkeypox lesion detection using transfer learning and ABC algorithm

Monkeypox, a reemerging zoonotic disease, has become a serious global health concern that requires rapid and accurate diagnostic methods. The increasing prevalence of skin lesion images highlights the scope of automated deep learning solutions. However, current approaches face ch...

Provenance-preserved DL framework for intrinsically-isolated mm-wave CDRA MIMO

Abstract This paper presents a provenance-preserving deep-learning framework for computational design screening and full-wave validation of high-isolation millimeter-wave cylindrical dielectric resonator antennas in a two-port MIMO configuration. The framework integrates Ansys HF...

XP-IDS: an explainable hybrid CNN–XGBoost framework for IoT intrusion detection

Abstract The rapid growth of IoT-enabled technologies and interconnected smart devices has significantly increased security risks associated with poorly protected and resource-constrained IoT environments. Efficient anomaly detection mechanisms can help mitigate these threats by...

A hybrid CNN-BiLSTM edge-cloud intrusion detection system with online incremental learning and SHAP explainability for smart city IoT

Abstract Smart city IoT deployments interconnect safety-critical infrastructure across millions of heterogeneous devices, creating an attack surface that signature-based intrusion detection systems (IDS) cannot defend against zero-day exploits, polymorphic malware, or concept dri...

A lightweight image encryption scheme using LFSR, logistic map, and cellular automata for resource-constrained devices

In the modern era, secure image transmission is crucial for digital communication. In particular, this communication is useful in resource-constrained devices, such as Internet of Things (IoT) mechanisms and embedded systems. Conventional encryption algorithms require greater com...

Tissue specific proteome analysis deciphers regulation of unique set of proteins from varied metabolic pathways during pre-climacteric and climacteric stages in banana

Globally, bananas are a major staple food with significant nutritional and commercial potentials and are extremely perishable with a very short shelf life. Understanding the proteins expressed in different tissues during ripening can help in improving postharvest quality and shel...

Adaptive neuro-fuzzy inference system-based analysis of Maxwell nanofluid flow over an exponentially expanding surface with radiation and multiple slip conditions

Abstract The present communication explores the Darcy-Forchheimer flow of Maxwell nanofluid through an exponentially expanding surface with motile microorganisms and slip conditions. This precise fluid model is employed in several industrial areas, such as polymer extrusion, ener...

A Review on Image Steganography Techniques: Evolution from Classical to Adaptive Methods

Image steganography is an information-hiding technique, aiming to achieve confidentiality and data privacy while transmitting the data in a digital environment. Over the last two decades, steganography has evolved from classical spatial domain embedding to intelligent and adaptiv...

Optimization-driven feature learning for long-tailed object detection in optical remote sensing imagery

With the rapid advancement of remote sensing technologies, deep learning–based object detection has been widely adopted for large-scale optical remote sensing imagery. Despite the remarkable progress achieved by convolutional and transformer-based detectors, their performance rem...

Explainable medicinal plant identification using a hybrid CNN-vision transformer framework

Image processing has already expanded to substantial importance in today’s world due to its extensive range of applications across several domains, including science, healthcare, and business. One of the ongoing challenges in computer vision is the accurate recognition of plant s...

Development of an authenticated cryptography algorithm to enhance the security of Internet of Things closed-circuit television devices

The security and efficiency of Internet of Things (IoT) Closed-Circuit Television (CCTV) devices become crucial with the increased popularity of CCTV surveillance systems. Security is provided by traditional encryption techniques but with the large computational overhead that mak...

Digital disconnection: A systematic review of phubbing behavior

Phubbing, or snubbing others in face-to-face interactions by attending to one's phone, has become an increasingly pervasive social behavior with important psychological and relational consequences. This systematic review, following PRISMA guidelines, synthesizes empirical researc...