Zobrazeno 1 - 10
of 1 710
pro vyhledávání: '"Arjunan, P"'
In this paper, we employ a 1D deep convolutional generative adversarial network (DCGAN) for sequential anomaly detection in energy time series data. Anomaly detection involves gradient descent to reconstruct energy sub-sequences, identifying the nois
Externí odkaz:
http://arxiv.org/abs/2402.14384
Publikováno v:
Building and Environment (2023), 111112
This work presents the analysis of semantically segmented, longitudinally, and spatially rich thermal images collected at the neighborhood scale to identify hot and cool spots in urban areas. An infrared observatory was operated over a few months to
Externí odkaz:
http://arxiv.org/abs/2310.04247
Autor:
Thangarajan Umamathi, Venkatachalam Prathipa, Arockiam Roslin, Arockiaraj Little Jewelcy, Micheal Velankanni Jeevithe Clara, Nilavan Anitha, Mohamed Ibrahim Nasrin Sahana, Rajendran Susai, Arjunan Krishnaveni
Publikováno v:
Zaštita Materijala, Vol 65, Iss 4, Pp 765-777 (2024)
The present work is undertaken to investigate the corrosion resistance of ever silver in the presence of water, water+curd system, water+curd+rice system, water+curd+rice+Salt system. The corrosion resistance has been evaluated by AC impedance spectr
Externí odkaz:
https://doaj.org/article/5cff6c29388b494a8374bb855cbdcd09
Publikováno v:
Saudi Journal of Anaesthesia, Vol 18, Iss 4, Pp 596-598 (2024)
Arteriovenous malformation (AVM) of the head and neck, though rare, can present significant clinical challenges, particularly during dental procedures. This case report details the acute management of a 7-year-old girl with an AVM in the right mandib
Externí odkaz:
https://doaj.org/article/46b4ecfc275742de9f618be3ff0e4f4f
Autor:
Lin, Subin, Ramani, Vasantha, Martin, Miguel, Arjunan, Pandarasamy, Chong, Adrian, Biljecki, Filip, Ignatius, Marcel, Poolla, Kameshwar, Miller, Clayton
Publikováno v:
Sci Data 10, 859 (2023)
The paper describes a dataset that was collected by infrared thermography, which is a non-contact, non-intrusive technique to collect data and analyze the built environment in various aspects. While most studies focus on the city and building scales,
Externí odkaz:
http://arxiv.org/abs/2305.01971
Autor:
Porkizhi Arjunan, Durga Kathirvelu, Gokulnath Mahalingam, Ashish Kumar Goel, Uday George Zacharaiah, Alok Srivastava, Srujan Marepally
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 14, Iss 7, Pp 2885-2900 (2024)
Inherited genetic disorders of the liver pose a significant public health burden. Liver transplantation is often limited by the availability of donor livers and the exorbitant costs of immunosuppressive therapy. To overcome these limitations, nucleic
Externí odkaz:
https://doaj.org/article/e9b4547e8a234c618b58ae84cb260f04
Publikováno v:
Nano TransMed, Vol 3, Iss , Pp 100049- (2024)
Background: Integrating nanomedicines for targeted cancer treatment and pursuing medicinally valuable components from nature are crucial for sustainable, potent alternatives to synthetic drugs in combating fatal diseases like cancer. Hence, a green s
Externí odkaz:
https://doaj.org/article/32bc3201bcec4a988ada8818abbe98e3
Autor:
Ahsan Shah, Arun Arjunan, Anusha Thumma, Julia Zakharova, Timothy Bolarinwa, Shreah Devi, Maryam Batool
Publikováno v:
Cleaner Water, Vol 2, Iss , Pp 100022- (2024)
This paper reveals a green chemistry approach to remove arsenic (As+3) from water using potassium hydroxide (KOH) modified sewage sludge-derived biochar (SSDB-KOH). Characterisation of the morphology, particle size and composition of the SSDB-KOH pre
Externí odkaz:
https://doaj.org/article/dae8f2d9edc24fccb39ba9c6750c63da
Autor:
Ahsan Shah, Arun Arjunan, Georgina Manning, Maryam Batool, Julia Zakharova, Alisha J. Hawkins, Fatima Ajani, Ioanna Androulaki, Anusha Thumma
Publikováno v:
Cleaner Water, Vol 2, Iss , Pp 100050- (2024)
This research investigates the individual and combined use of Moringa oleifera (MO) Lam., biochar, and sand to remove turbidity, pathogens, and heavy metals from drinking water. Contaminated water was synthetically prepared using kaolin, standard nic
Externí odkaz:
https://doaj.org/article/3320e197ec414ebc8d025c1454c539e0
Autor:
Visagan ARJUNAN, Ganesh PASUPATHY
Publikováno v:
Medžiagotyra (2024)
The Metal Die Support Incremental Sheet Forming (MDS-ISF) enhances the dimensional accuracy of produced items in many industrial applications. However, the procedure limits metal sheet formability due to the strain between the tool and mandrel. As a
Externí odkaz:
https://doaj.org/article/a01fd31727ff4d509bd52fd72716ef28