Manipal University Jaipur

Harnessing phytochemicals from Piper betle L. leaves for nanometric advancements with sustainable applications

The leaves of Piper betle L . have drawn significant attention as a plant-based source for the green synthesis of metallic and metal oxide nanoparticles, thanks to their wide range of phytochemical compounds, especially phenolics, flavonoids, and other bioactive metabolites. Thes...

Enhancing network science with large language models and federated artificial intelligence

Abstract Sixth generation (6G) networks require intelligent and privacy-preserving solutions to handle traffic complexity, resource allocation, and security challenges. While Large Language Models (LLMs) offer advanced reasoning and Federated Artificial Intelligence (FAI) enables...

Development and evaluation of biopolymer–fly ash amended sand for improved water holding capacity, abrasion resistance, and plant growth in desert ecosystem

Desert sand, although mineral-rich, is unsuitable for agriculture due to its low water holding capacity and weak particle cohesion. In this study, a sustainable sand amendment approach was developed using Fly ash (FA) in combination with biopolymers, such as Guar gum (GG), Xantha...

An adaptive federated deep learning approach for efficient DDoS detection in IoT edge networks

Abstract The rapid growth of the Internet of Things (IoT) has expanded the attack surface of modern networks, motivating the need for accurate detection of DDoS and botnet activity in resource-constrained settings. Centralised intrusion detection systems (IDS) face privacy, scala...

Nature-inspired antenna design using hybrid ANN and Bayesian optimization techniques for biomedical applications

Abstract This paper is presenting a systematic approach for designing of antenna resonating at 3.18 GHz with an impedance bandwidth of 3.10–3.285 GHz which lies at the lower edge of the UWB spectrum used in IEEE 802.15.6-based Wireless Body Area Network (WBAN) research. The propo...

AVMD-ST: attention-variational mode decomposition based spectrogram transformer for differential diagnosis of asthma and COPD

Lung auscultation analysis is a fundamental and mostly used clinical method for diagnosing pulmonary disorders; however, distinguishing between chronic obstructive pulmonary disease (COPD) and Asthma remains difficult because of the overlap in physiological and structural charact...

Speaking through caste comedy: Manjeet Sarkar’s Let’s Talk About It and the insertion of a Dalit voice into the Indian stand-up comedy scene

Despite caste playing a critical role in shaping Indian society, Indian stand-up comedians do not often directly make jokes about caste. This is because caste jokes can make the audience uncomfortable. Critiquing or engaging with caste is risky for the comedians. This study analy...

A hybrid deep feature extraction and ensemble learning framework for robust multi-class ECG image classification

Abstract ECG signals, the electrical activity of the heart, play a vital role in early identification of cardiovascular diseases (CVDs), which are currently the leading cause of death across the world. However, manual detection of ECG images can be time-consuming, prone to human...

Multi period MINLP framework for optimal operation of active distribution networks with integrated EVs and demand side management

Abstract This paper introduces a complete stochastic optimization framework for optimal operation of Active Distribution Networks (ADNs), taking into account the coordinated integration of Diesel Generator (DG), Renewable Energy Sources (RESs), Battery Energy Storage Systems (BES...

Artificial intelligence in male infertility from diagnosis to treatment

Male factors account for almost half of all infertility cases and afflict approximately 186 million men globally, presenting a substantial and increasing public health burden. Semen analysis is the standard of care for assessing male fertility, but subjective visual interpretatio...

Geopolitical risk and digital financial inclusion in short-run panel dynamics

Digital financial inclusion (DFI) has become an increasingly important policy objective amid rapid digitalization and rising geopolitical fragmentation. This paper examines how geopolitical risks and foreign investment ecosystems influence financial inclusion outcomes in both dev...

Systematic analysis of peer to peer network attacks in blockchain technology examining strategies real world cases and cross layer vulnerabilities

Abstract The peer-to-peer (P2P) network layer, the foundation of the system, tends to be underplayed in blockchain security conversations about headline-grabbing applications and consensus rules. This work digs deep into the P2P layer and discovers it to be a critical front for t...

Evaluation of boundary-aware UNet++ for low-grade glioma segmentation

Automated brain tumour segmentation remains challenging because of diffuse boundaries, class imbalance, and variation in lesion appearance. We evaluated a boundary-aware low-grade glioma segmentation framework using UNet++ with an ImageNet-pretrained EfficientNet-B4 encoder and a...

Order reduction of continuous-time interval systems using Padé-derived compact search bounds and mountain gazelle optimization

Model order reduction of interval systems is crucial for simplifying comprehension and designing reliable controllers while retaining uncertainty bounds. This study introduces a hybrid order-reduction framework that combines split-merge reformulation, Padé approximation, and the...

An interpretable feature-augmented stacked ensemble framework for student dropout prediction

Abstract Student dropout prediction is regarded as one of the significant research fields in educational data mining. It aids the sustainability of institutions and early interventions in schools. This study proposes an Enhanced Stacked Dropout Predictor (eSDP), which is a featur...

Environmental concern as a mediator of sustainable purchase intention among urban consumers in India

Abstract The growing emphasis on sustainable consumption and responsible production has increased scholarly interest in understanding consumers’ sustainable purchase intentions (SPI). This study is based on the Theory of Planned Behaviour (TPB) and Value–Belief–Norm (VBN) theory...

Carbon sequestration and sustainable land management through temperate fruit orchards in Himalayan landscapes: implications for climate-resilient agroecosystems

Anthropogenic disturbances, inadequate land management, and deforestation have intensified the soil degradation in the Himalayan region. Temperate fruit plantations in this area exhibit differential abilities to sequester soil organic carbon (SOC). This study examined the dynamic...

Bibliometric insights and conceptual grid framework for load balancing in fog computing for smart city

The proliferation of smart cities has increased significantly in recent years, driven by rising public, engineering and research interest, and new technologies which are changing urban life. Although technology has been enhanced, cloud computing in smart cities still faces issues...

Security-Aware Adaptive Computation Offloading in Mobile Edge Computing Using Reinforcement Learning and Deep Q-Networks

Mobile Edge Computing (MEC) enables resource-constrained mobile devices to offload computation-intensive tasks to nearby edge servers. Existing computation offloading approaches primarily optimise latency, energy consumption, or resource allocation, but often do not consider secu...

Explainable artificial intelligence-based prediction of electrical characteristics in GAA MOSFETs

In this paper, explainable artificial intelligence (XAI) based prediction is used for gate all around (GAA) MOSFET to predict its electrical behaviour. The data set is produced using TCAD simulations by changing device parameters like channel length (L g ), Radius of silicon pill...