Institution
Galgotias University
Recent research
- Materials & Energy
Abstract In this work, we present a comprehensive investigation of the structural, electrical, and magnetic properties of Dy2CoIrO6, a 3d–5d–4f heterotri-spin system. X-ray diffraction analysis confirms a distorted monoclinic crystal structure (space group: P21/n) with slight ant...
- BiologyOpen access
This deposit contains code and artefacts for an ablation study ofEEG-to-CLIP contrastive alignment on the THINGS-EEG benchmark. We train anattention-based temporal-spatial encoder to map 17-channel EEG epochs intothe CLIP embedding space and evaluate nearest-concept retrieval on...
- AI & ComputingOpen access
Negotiating AI integration in higher education curricula: Coping behaviour or career opportunity?
This study examines how higher education educators perceive artificial intelligence (AI) as both a coping resource and a catalyst for career development. Grounded in the Stimulus-Organism-Response (S-O-R) framework and integrating Social Cognitive Career Theory (SCCT) with Lazaru...
- Climate & EnvironmentOpen access
Heavy metal ions are ubiquitous in water resources, toxic, and tend to bioaccumulate. Therefore, they represent a serious threat to the environment and to human health. The use of conventional treatment processes such as coagulation-flocculation, membrane separation, chemical pre...
- Engineering & Technology
Abstract This paper presents a four-port multiple-input multiple-output (MIMO) cylindrical dielectric resonator antenna (CDRA) with frequency-selective surface (FSS)-backed corner reflectors at 5.1 GHz to enhance performance. First, the single-port CDRA is investigated, and a mon...
- AI & ComputingOpen access
A comprehensive survey on connectivity for IoT sensor networks
Recent demand for Internet of things (IoT) based sensing devices has increased in many significant areas, such as greenhouse monitoring, remote patient monitoring, military applications, wild-life tracking and habitat monitoring, precision agriculture, etc. Moreover, some critica...
- Society & Economics
Purpose This analysis aims to determine and prioritise the barriers of effective healthcare service quality (EHSQ) in an emerging economy by deploying an integrated expert mining and interpretive structural modelling cross-impact matrix multiplication applied to a classification...
- AI & ComputingOpen access
HAICA: A framework for reasoning transparency in AI-enabled higher education assessment
Generative Artificial Intelligence (GenAI) has destabilized conventional assumptions about the evidentiary basis of higher education assessment. When students can produce polished and technically plausible outputs with AI support, final submissions alone may no longer provide suf...
- Health & MedicineOpen access
Abstract Accurate melanoma detection is essential for early-stage dermatological diagnosis, as it significantly improves treatment outcomes and patient survival rates. This study proposes a robust stacked ensemble framework that combines transfer learning (TL) with particle swarm...
- Health & MedicineOpen access
Lung cancer risk prediction using interpretable ensemble models on lifestyle and clinical data
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, where early detection and reliable risk assessment are critical for improving outcomes. This study develops and evaluates a range of ensemble learning models for lung cancer prediction using life...
- Engineering & TechnologyOpen access
The proposed antenna design incorporates a 0.3 mm thick Roger substrate, a 0.00125 mm thick patch, and a cylindrical hollow radome made of Preperm HF H1500 material. The radome encloses a 1 × 11 linear array with a radius of 5.40 mm without affecting its radiation characteristics...
- Engineering & Technology
Purpose This study aims to explore and prioritize the critical enablers (CEs) for the successful deployment of Quality 4.0 (Q4.0) in automotive manufacturing industry. Design/methodology/approach Initially, comprehensive literature review related to Q4.0 adoption in manufacturing...
- BiologyOpen access
Automated Sleep Stage Classification for Closed-Loop Lucid Dream Induction via CNN-LSTM on Single-Channel EEG is the title of this paper which is the first paper and starting of something bigger in the future. I think if it works then it will change the perspective humans and how...
- Health & MedicineOpen access
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...
- Engineering & TechnologyOpen access
Abstract This paper presents a compact four-port multiple-input-multiple-output (MIMO) antenna featuring a triple notched-band characteristic for wideband, multiple applications. The single-element antenna is systematically developed and analyzed using the Theory of Characteristi...
- Health & MedicineOpen access
Cutaneous oncology needs to be treated locally with maximal exposure to the target with minimum systemic toxicity. Novasomes, surfactant-rich vesicles, have proven to be promising theranostic carriers for both topical and intralesional delivery. This review aims to establish a tr...
- Engineering & TechnologyOpen access
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...