Ram PAL Singh

• University of Delhi

Background and Objective: Vision serves as a window to the world, enabling individuals to fully appreciate various dimensions of everyday life. Some eye diseases can lead to irreversible loss of vision. Developing an algorithm for a clinical decision support system that explains its predictions is essential to assist the limited number of ophtha...

Long-term and long-sequence prediction for multivariate time series (MTS) data is an important and challenging problem. The key to solving this problem is learning the long-term dependency period in a time series. Different attention-based models like RNN variants and transformers are actively researched to provide short-term and long-term predicti...

In today’s world, data is produced at a very high speed and used in a large number of prediction problems. Therefore, the sequential nature of learning algorithms is in demand for batch learning algorithms. This paper presents a novel online sequential algorithm for extreme learning machine with l2,1-norm regularization (LR21OS-ELM) to handle the r...

Multi step ahead (long horizon) forecasting in a timeseries is a difficult task for various engineering applications in finance, geology, and information technology, etc. It is observed that different approaches mentioned in literature are at some disadvantage to give long term prediction for a non linear time series. Long Short-Term Memory (LSTM)...

With high popularity of Internet, digital data or information can be shared at much higher speed, with less expenses and efforts. This creates new opportunities like e-advertisement, web publishing, audio and video deliveries but these opportunities create many new threats also. An important issue is the copyright protection of the content. Digital...

Colorectal cancer is the third largest cause of cancer deaths in men and second most common in women worldwide. In this paper, a prediction model based on Support Vector Machine (SVM) and Extreme Learning Machine (ELM) combined with feature selection has been developed to estimate colorectal-cancer-specific survival after 5 years of diagnosis. Expe...

The Indian health system is becoming very complex and large and faces a lack of developed policy, time bound and real-time solutions, and tracking and absence of advanced data collection and data analysis technologies. The problem becomes more complex when collected data are merged and analysed. These merged data result in the categories of big dat...

Optimization of energy performance of the buildings has been a great interest of research. Energy performance monitoring and maintenance depend on the several parameters such as temperature, humidity, sunlight, roof area, wall area and mostly on heating ventilation and air conditioning(HVAC). Each building has its own patterns and settings obtained...

In the present day environment, smart buildings require optimization of energy consumption through monitoring, consumption prediction and making policy decisions accordingly. Attributes related to building design and structure play a vital role in heating load(HL) and cooling load(CL) of the building which directly affects the energy performance of...

The analysis of financial time series for predicting the future developments is a challenging problem since past decades. A forecasting technique based upon the machine learning paradigm and deep learning network namely Extreme Learning Machine with Auto-encoder (ELM-AE) has been proposed. The efficacy and effectiveness of ELM-AE has been compared...

Optimization of energy performance of the buildings has been a great interest of research. Energy performance monitoring and maintenance depend on the several parameters such as temperature, humidity, sunlight, roof area, wall area and mostly on heating ventilation and air conditioning(HVAC). Each building has its own patterns and settings obtained...

In the present day environment, smart buildings require optimization of energy consumption through monitoring, consumption prediction and making policy decisions accordingly. Attributes related to building design and structure play a vital role in heating load(HL) and cooling load(CL) of the building which directly affects the energy performance of...

At present, most of the buildings are using process of heating, ventilation and air conditioning (HVAC)-systems. HVAC systems are also responsible for consumption of huge amount of energy. Home automation techniques are being used to reduce the waste of resources especially energy that is available to us in the form of temperature, electricity, wat...

Protecting and securing an information of digital media is very crucial due to illegal reproduction and modification of media has become an acute problem for copyright protection now a day. A Discrete Wavelet Transform (DWT) domain based robust watermarking scheme with Extreme Learning Machine (ELM), Online Sequential Extreme Learning Machine (OSEL...