http://localhost:8080/xmlui/handle/123456789/3355 Tue, 23 Jun 2026 06:26:01 GMT 2026-06-23T06:26:01Z http://localhost:8080/xmlui/handle/123456789/3546 Title: Pollen Classification of three types of plants of the family Malvaceae using Computational Intelligence Approach Authors: DHAWALE, VIJAY; DUDUL, SANJAY; TIDKE, JAYKIRAN Abstract: The Malvaceae family is a kind of plants, which are commonly found near habitat places in India. The earlier approaches reported in the literature were tedious and time consuming with less accuracy due to the similarity in shape and the exine sculptures of pollens. We describe a new classification approach for the classification of three types of pollen grains of the Malvaceae family based on feature vector comprised of Histogram coefficients and image statistics. The approach presented gives precise accuracy in classification of pollen grains of the same family by using SEM images Fri, 01 Jan 2021 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3546 2021-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3432 Title: Cuff-Less BP Stratification based on Bio-Signals processing using Machine Learning : An Investigative Study Authors: Shinde, Santosh; RajaRajeswari, Pothuraju Abstract: Cuff-Less Blood Pressure Stratification using Signal Processing with Machine Learning has gained immense attraction in the past decade among the research community. Blood Pressure, one of the most vital parameter of the human body representing overall well being of an individual. Most of the cardiovascular and cerebrovascular diseases (CCVD) including Hypertension are highly correlated to Blood Pressure. Existing BP measurement approaches are highly inconvenient and intermittent and do not allow continuous measurement of BP. Continuous BP measurement could prove to be significant indicator to most of the medicinal conditions and will lead to breakthrough achievement in the field of medical science. Cuff-Less Blood Pressure estimation hopefully can enable continuous blood pressure measurements in the time to come. A Plethora of methods for Cuff-Less BP Stratification have been experimented out by using Vital Bio Signals such PTT based, nPTT based, Machine Learning and Deep Learning based. Most of these methods leading to satisfactory beliefs that Cuff-Less BP estimation could be possible to the utmost accuracy for the diagnosis of most of the CCVD diseases as well as to monitor the overall well being of humans. However, most of the approaches still needs improvements, needs to be tested on a larger population with varying demographic features and real time application. This paper presents an investigative study of existing Cuff-Less BP Estimation approaches and discusses the merits and opportunities for improvements of the Cuff-Less BP Estimation methods. Mon, 05 Jul 2021 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3432 2021-07-05T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3431 Title: Time Line Correlative Spectral Processing for Stratification of Blood Pressure using Adaptive Signal Conditioning Authors: Shinde, Santosh; RajaRajeswari, Pothuraju Abstract: —Stratification of Blood Pressure is essential input in most of the cardiovascular diseases detection and prediction and is also a great aid to medical practitioners in dealing with Hypertension. Denoising based on spectral coding is developed based on frequency spectral decomposition and a spectral correlative approach based on wavelet transform. The existing approaches perform a standard deviation and mean of peak correlation in signal conditioning. The artifact filtrations were developed based on thresholding. Filtration of coefficients has an impact on accuracy of estimation and hence proper signal conditioning is a primal need. Wherein threshold is measured with discrete monitoring, time line observation could improve the accuracy of filtration efficiency under varying interference condition. Dynamic interference due to capturing or processing source results in jitter type noises which are short period deviations with varying frequency component. Hence a time frequency analysis for filtration is adapted for filtration. This paper presents an approach of spectral correlation approach for signal condition in stratification of blood pressure under cuff less monitoring. This presented approach operates on the spectral distribution of finer resolution bands for monitoring signal in denoising and decision making. Existing approaches lacks the capability of loss-less denoising which is efficiently worked out in this paper. Mon, 05 Jul 2021 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3431 2021-07-05T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3390 Title: Intensified sonochemical degradation of 2-Picoline in combination with advanced oxidizing agents Authors: Daware, G.B.; Gogate, P.R. Abstract: 2-picoline is a very important pyridine derivative with significant applications though it is also poisonous and harmful having considerable adverse influence on aquatic life, environment and organisms. The need for developing effective treatment methodologies for 2-Picoline directed the current work focusing on degradation of 2-Picoline using the combination of ultrasound and advanced oxidants such as hydrogen peroxide (H2O2), potassium persulphate (KPS), Fenton’s reagent, and Peroxymonosulphate (PMS) along with the use of Titanium oxide (TiO2) as catalyst. Ultrasonic bath having 8 L capacity and operating frequency of 40 ± 2 kHz has been used. The effect of parameters like power, initial pH, temperature, time and initial concentration of 2-Picoline were studied to establish best operating conditions which were further used in the combination treatment ap proaches of ultrasound with oxidising agents. The chemical oxygen demand (COD) reduction for the optimized approaches of ultrasound in combination with oxidizing agents was also determined. Degradation experiments were performed using oxidising agents also in absence of ultrasound to investigate the individual treatment capacity of the oxidants and also the synergetic index for the combination. Kinetic study demonstrated that second order model suited for all the treatment approaches except US/Fenton where first order model fitted better. Ultrasound in combination with Fenton reagent demonstrated a substantial synergy for the degradation of 2-Picoline compared to other treatment approaches showing highest degradation of 97.6 %, synergetic index as 5.71, cavitational yield of 1.82 × 10− 5 mg/J and COD removal of 82.4 %. Thu, 29 Jul 2021 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3390 2021-07-29T00:00:00Z