741 results match your criteria: "Delhi Technological university[Affiliation]"

ST-CIRL: a reinforcement learning-based feature selection approach for enhanced anxiety classification.

Physiol Meas

January 2025

Department of Electronics and Communication , Delhi Technological University Department of Electronics and Communication, Delhi Technological university, Bawana, New Delhi-42, New Delhi, Delhi, 110042, INDIA.

A physiological signal-based Human-Computer Interaction (HCI) system provides a communication link between human emotional states and external devices. Accurately classifying these signals is vital for effective interaction, which requires extracting and selecting the most discriminative features to differentiate between various emotional states. This paper introduces the SMOTETomek-Correlated Interactive Reinforcement Learning (ST-CIRL) framework for anxiety classification, which leverages meta-descriptive statistics to enhance the state representation in the reinforcement learning process.

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The present study summarises recent developments in solar-assisted extraction systems for distillation of essential oil from aromatic and medicinal plants. Various solar integrated essential oil extraction systems are compared based on performance parameters such as essential oil yield and system efficiency along with their potential effects on the domains of renewable energy. Solar steam distillation is an environmentally beneficial and energy-efficient technology of desalination that is especially ideal for areas with plentiful sun resources.

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Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality. Early prediction is the need of the hour so that interventions like aspirin prophylaxis can be started. Nowadays, machine learning (ML) is increasingly being used to predict the disease and its prognosis.

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Soil reinforcement is one of the techniques used to enhance the engineer characteristics of the soil. Various techniques can be employed to stabilise problematic soils, such as soft clay. These include the utilisation of portland cement, lime, fly ash, ground freezing, jet grouting, prefabricated vertical drains, and thermal approaches.

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Dy and Eu co-doped borosilicate glasses have been synthesised via melt quench technique. Amorphous behaviour of the sample has been verified by XRD study. FT-IR analysis confirmed the presence of various bonds in the host lattice.

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GAN-Based Novel Approach for Generating Synthetic Medical Tabular Data.

Bioengineering (Basel)

December 2024

Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Gyeonggi-do, Republic of Korea.

The generation of synthetic medical data has become a focal point for researchers, driven by the increasing demand for privacy-preserving solutions. While existing generative methods heavily rely on real datasets for training, access to such data is often restricted. In contrast, statistical information about these datasets is more readily available, yet current methods struggle to generate tabular data solely from statistical inputs.

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MCBERT: A multi-modal framework for the diagnosis of autism spectrum disorder.

Biol Psychol

January 2025

Big Data Analytics and Web Intelligence Laboratory, Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India. Electronic address:

Within the domain of neurodevelopmental disorders, autism spectrum disorder (ASD) emerges as a distinctive neurological condition characterized by multifaceted challenges. The delayed identification of ASD poses a considerable hurdle in effectively managing its impact and mitigating its severity. Addressing these complexities requires a nuanced understanding of data modalities and the underlying patterns.

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Objective: To assess the alterations of endogenous sex hormone profiles in patients with epilepsy (PWE) on different antiepileptic drug (AED) monotherapies compared to healthy controls and drug naïve PWE (DNPWE).

Methods: Four databases MEDLINE, EMBASE, SCOPUS, and CENTRAL were searched for analytical observational/intervention studies on the assessment of endogenous sex hormones in PWE compared to healthy controls and DNPWE. Two researchers reviewed the title/abstract, and full-text articles for the selection of the studies independently.

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In the present research work, a solid-state reaction method was employed to synthesize a series of CaGdSbWO:SmEu (x = 1, 1.5, 2, 3 and 4 mol%) phosphors. The phase purity, crystallinity, morphological and compositional studies were analysed via X-ray diffraction (XRD), scanning electron microscopy (SEM) imaging, and energy dispersive spectroscopy (EDS) analysis.

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Biomedical prospects and challenges of metal dichalcogenides nanomaterials.

Prog Biomed Eng (Bristol)

August 2024

CSIR-National Physical Laboratory, Dr K.S. Krishnan Road, New Delhi 110012, India.

The biomedical applications of metal dichalcogenides (MDCs) nanomaterials (NMs) are an emerging discipline because of their unique attributes like high surface-to-volume ratio, defect sites, superb catalytic performance, and excitation-dependent emission, which is helpful in bio-imaging and cancer cell killing. Due to the compatibility of sensing material with cells and tissues, MoS, WS, and SnSNMs have piqued the interest of researchers in various biomedical applications like photothermal therapy used in killing cancer cells, drug delivery, photoacoustic tomography (PAT) used in bio-imaging, nucleic acid or gene delivery, tissue engineering, wound healing, etc. Furthermore, these NMs' functionalization and defect engineering can enhance therapeutic efficacy, biocompatibility, high drug transport efficiency, adjustable drug release, dispersibility, and biodegradability.

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Accurate soil pH and soil organic carbon (SOC) estimations are vital for sustainable agriculture, as pH affects nutrient availability, and SOC is crucial for soil health and fertility. Hyperspectral imaging provides a faster, non-destructive, and economical alternative to standard soil testing. The study utilizes imaging spectroscopic data from the Africa Soil Information Service (AfSIS) and Land Use and Coverage Area Frame Survey (LUCAS-2009) hyperspectral datasets, capturing spatially distributed spectral information.

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The genus Oryza is of utmost importance to human civilization as two of its species became agronomically productive and widely cultivated, and also because wild rice is a treasure trove of beneficial alleles that can be used for crop improvement. Most of the wild rice genotypes are known for their stress tolerance several times more than the domesticated rice varieties. In this study, we aimed to carry out an exhaustive genomic survey to identify glyoxalase I (GLYI) and glyoxalase II (GLYII) genes across the 11 rice genomes sequenced so far.

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Given a dearth of comprehensive assessments, this study provided a quantitative and scientific analysis of 286 articles on spiritual leadership (SL) published in Scopus-indexed journals. Citation, cluster and co-citation analysis were employed to highlight the key works, sketch the intellectual framework and identify the research gaps. The most influential documents, journals, authors/researchers, countries and universities were also determined using citation analysis.

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The adverse impact of disturbmitochondrialbiogenesis onearly brain injury (EBI) following subarachnoid haemorrhage (SAH) has been broadly recognized and is closely associated with oxidative stress and neuronal apoptosis. Previous studies have indicated the therapeutic potential of Ropinirole, a dopamine D2 agonist, in Ischemic Stroke. However, there is a lack of evidence regarding the ability of Ropinirole to enhance mitochondrial biogenesis and quality control after subarachnoid haemorrhage.

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WS-BiTM: Integrating White Shark Optimization with Bi-LSTM for enhanced autism spectrum disorder diagnosis.

J Neurosci Methods

January 2025

Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India. Electronic address:

Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition marked by challenges in social communication, sensory processing, and behavioral regulation. The delayed diagnosis of ASD significantly impedes timely interventions, which can exacerbate symptom severity. With approximately 62 million individuals affected worldwide, the demand for efficient diagnostic tools is critical.

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This study developed and validated the niyama-based spiritual well-being scale (NSWBS) using a mixed-method approach. Niyama is one of the eight limbs of ancient Indian Ashtanga yoga philosophy. There are five niyamas: soucha (internal and external cleanliness and hygiene), santosha (happiness and contentment), tapas (austerity and discipline), swadhyaya (self-study, observation and self-introspection) and ishvara-pranidhana (believe and surrender to the God and cosmic power).

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Article Synopsis
  • Feature selection in histopathology image analysis remains a challenge, with most current methods treating it as a single-objective problem.
  • This research introduces an improved multi-objective whale optimisation algorithm for more efficient feature selection.
  • The new technique was tested against benchmark functions and compared with existing methods, showing superior performance in accuracy, the number of features selected, and calculation time.
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The current study delineates the synthesis of hydrogel films comprised of carboxymethyl tamarind kernel gum (CMTKG), poly (vinyl alcohol) (PVA), and guar gum (GG) using glutaraldehyde (GTA) as cross-linker. The hydrogel films were evaluated in terms of equilibrium swelling ratio (ESR), moisture content, thickness, wetting analysis, thermal, and mechanical analysis. The tensile strength value lies in the range of 95.

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Harnessing Brainwave Entrainment: A Non-invasive Strategy To Alleviate Neurological Disorder Symptoms.

Ageing Res Rev

November 2024

Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University (Formerly Delhi College of Engineering), Shahbad Daulatpur, Bawana Road, Delhi 110042, India. Electronic address:

From 1990-2019, the burden of neurological disorders varied considerably across countries and regions. Psychiatric disorders, often emerging in early to mid-adulthood, are linked to late-life neurodegenerative diseases like Alzheimer's disease and Parkinson's disease. Individuals with conditions such as Major Depressive Disorder, Anxiety Disorder, Schizophrenia, and Bipolar Disorder face up to four times higher risk of developing neurodegenerative disorders.

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In the current study, four different combinations of hydrogels were synthesized using carboxymethyl tamarind kernel gum (CMTKG), synthetic polymers: polysodiumacrylate (PSA) and polyacrylamide (PAM) and Graphene Oxide (GO) as a filler, and Ciprofloxacin (Cip) as a model drug and then characterized. The swelling behavior of hydrogel reveals the order as Distilled Water (DW) (pH 7) > pH 7.4 > pH 1.

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Article Synopsis
  • This study investigates the link between esophageal squamous cell carcinoma (ESCC) and oral squamous cell carcinoma (OSCC), looking at common risk factors and genetic mechanisms involved in both cancers.
  • Using advanced machine learning tools, researchers analyzed gene expression data from two large datasets, identifying 20 key genes associated with the development of both ESCC and OSCC.
  • The findings suggest a bidirectional relationship between the two cancers, paving the way for targeted therapies and personalized medicine strategies based on shared biological pathways.
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Neuroscientific insights about computer vision models: a concise review.

Biol Cybern

December 2024

Department of Information Technology, Delhi Technological University, Delhi, India.

Article Synopsis
  • The study examines the historical development of biologically-inspired computational models, starting from the artificial neuron introduced in 1943, and highlights the challenges in replicating the complex biological visual system.
  • It discusses how contemporary computer vision models, like pre-trained deep neural networks and vision transformers, may not fully mimic biological systems but still incorporate some biological principles in their design and operation.
  • The paper emphasizes the importance of understanding these biological connections to enhance future bio-inspired computer vision models, focusing on innovations like biologically plausible neural networks and unsupervised learning mechanisms.
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Article Synopsis
  • - The study investigates the use of graphite (Gr) as a self-lubricating reinforcement in hybrid composite samples, focusing on minimizing wear rates in sliding pairs and improving surface quality.
  • - Samples were created using stir casting with BC and Gr reinforcements, and various analysis techniques confirmed the uniform distribution of the reinforcements and low porosity in the composites.
  • - Results showed that the wear rate of aluminum composites improved with Gr addition, achieving a minimum wear rate of 0.149 mm/m, and the Taguchi-ANOVA analysis indicated significant effects of pin type, load, and sliding speed on wear and friction coefficients.
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