All of the articles in this proceedings volume have been presented at the [Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME 2025)] during [5th-7th December 2025] in [Ranchi]. These articles have been peer reviewed by the members of the [Technical Program Committee, Reviewer]...

Efavirenz (EFV) is a first-generation non-nucleoside reverse transcriptase inhibitor and is widely prescribed. However, it is associated with diverse adverse events (AEs), especially persistent neuropsychiatric symptoms. We used U.S. Food and Drug Administration Adverse Event Reporting System (FAERS)...

The acquisition of uncompressed video streams over Ether- net on FPGA platforms constitutes a substantial design challenge, primarily due to real-time bandwidth requirements and the susceptibility of packet-based transmission to jitter and synchronization errors. FIFO buffers have a critical role in...

Cardiovascular disease is no longer confined to older populations is increasingly observed among young adults due to changing dietary habits, reduced physical activity, and persistent psychosocial stress. Conventional statistical and machine learning models often underperform in capturing nonlinear and...

India has a staggering diversity in flora, which helps to provide a vast number of plants that could be used traditionally in the preparation of medicines in the fields of Ayurvedic or Unani medicines. But it has been a big problem to identify the plants and their materials because of their close resemblance...

Traffic accidents still are prominently among global fatalities and the need for real-time and accurate impact detection presents a big challenge to advanced protection systems. A vehicular impact estimation hybrid quantum-classical model is proposed in this research based on data provided by smartphone-integrated...

Parkinson’s Disease (PD) is a long-lasting neurological disorder that often affects speech and language as well as motor function. Speech can be a useful, pain-free biomarker for early diagnosis since the majority of patients (over 90%) exhibit phonetic and speech-related features. as high dimensionality...

The study centers on normalization layers, which have emerged as a significant burden in contemporary neural network architectures. The method doesn’t treat normalization as a separate step. Instead, it adds normalization weights directly to the core computation function. This makes the feedback loop...

The “VR Vidya – Virtual Science Lab” project presents a 3D virtual reality lab that can be accessed using VR headsets. The platform’s 3D models and interactive programming were created using Autodesk Maya. For numerous experiments conducted at the school level, it provides accurate simulations. Osmosis...

The study of Protein Protein Interaction (PPI) network and particularly the group of proteins (protein complexes) is gaining wide importance. This is due to the inherent ability of protein complexes to regulate the different cellular and metabolic processes in the living body. Literature is flooded with...

Energy usage and security are the two major challenges in Wireless Sensor Networks and Mobile Ad Hoc Networks. As the devices in these networks usually have limited power and limited processing capacity, they are more at risk to attacks. In traditional methods such, as clustering and standard cryptography,...

Deep learning constitutes an ongoing, modern technique for image processing and data analysis, with promising outcomes and enormous potential. As deep learning has been effectively applied in different domains, it has likewise entered the area of agriculture. Weed control is important for high quality...

This industrial engineering paper addresses the challenge of optimizing concurrent production within multi-component processing environments. It presents a comprehensive analytical approach to maximize the overall operational flow, considering various product characteristics and processing constraints....

With the ever-increasing speed of DNA sequencing technologies, there has been a huge amount of genomic information, making it imperative to seek effective and reliable ways of classifying these genomic contents. This research proposes an approach known as Ensemble Multi-View Feature Set Partitioning...

In this survey, there is a systematic assessment of the existing plans of manufacturing Quantum. Their ability to make Intermediate Representations (QIRs) sell optimization solutions to problems, plasticity in the both hardware and verification. We survey the existent methodologies and identify them...

The incorporation of nanofillers in the composite materials has gained significant attention in recent years due to the numerous advantages they offer over conventional composites. Most of the engineering composites typically uses continuous type fibers. These composites are reinforced with epoxy polymers,...

Polymer composites reinforced with natural and synthetic fibres have emerged as promising materials owing to their tailored structural, mechanical and functional properties. Natural fibres such as jute, flax, and sisal are biodegradable, renewable, lightweight in nature, and cost-effective, making them...

Additive Manufacturing (AM) has proven to be a revolutionary technique of fabrication in numerous fields because of its salient features of complexity in geometries and customization of components. However, there are many challenges to printing the part with good quality and reliability, which are linked...

Fish scales are ubiquitous by products of the food service sector that can be used to reinforce polymer composites. The majority of fish scales are disposed of in landfills, which is deleterious to the environment. This investigation concentrates on the tribological properties of epoxy composites strengthened...

The piece here portrays the Eagle Knights SSL team’s dilemma in participating in RoboCup 2020. A game matchup stipulated for 2050 is fast approaching. To qualify, the ESL members have uttering wished they had paid off that analysts rather than allowed faster changes. The team consists of robots that...

Experimental research was carried out with the purpose of analyzing the influence of TiB2 and ZrB2 on a novel aluminum-based composite. The density of the material significantly impacts the weight and tribological behavior of composites. A novel Hybrid composite was made by adding TiB2 and ZrB2 in Al6063....

The design and electromagnetic analysis of a small single-feed circularly polarized (CP) antenna for sub-6 GHz Internet-of-things (IoT) wireless devices are covered in this work. In Internet of Things communication devices encounter different orientations, multipath reflections, and fluctuating channel...

The Modular Multilevel Converters are a promising technology for medium- and high-voltage applications due to their advantages, which include a modular structure, scalability, and high-quality output waveforms. The performance of the MMC depends on its control strategy, which manages the converter’s...

Conventional Metal-Oxide-Semiconductor FET (MOSFET) technology has been the industry standard in the electronics domain over the last four decades. In this time, MOSFET design has been rigorously optimized with gate length (LG) scaled down from over 10 µm in 1970s to 20 nm in the year 2014 (later, industry...

The need to have good batteries keeps increasing as the use of electric vehicles and smart grids continues to increase. A Battery Management System (BMS) lies in the heart of any battery-based energy storage. Designers of electric vehicles still face a difficult task in building a successful BMS. It...

India is one of the world’s major exporters of agricultural produce, particularly fruits, vegetables, and other crop varieties. With the further increase of the population of the country, the need to determine the estimates of the crop production and quality is becoming more significant. This study presents...

This paper demonstrate the design and implementation of a lightweight, real-time Accident Evidence Collection System (AECS) using the PYNQ-Z2 FPGA technology. The main objective is to capture and evaluate vehicle surroundings through a live video stream for the detection and storage of license plate...

In this work, we introduce a deep learning and machine learning framework for identifying and categorizing neurological disorders. We concentrate on drug recommendations, normal brain activity, mental disease, and seizures. We gathered several datasets from Kaggle and included further data, such as food...

The electrical energy requirement is rapidly increasing while conventional energy sources face depletion, necessitating a shift toward renewable alternatives. In tropical countries such as India, photo-voltaic (PV) arrays represent a widely available and non-depleting energy source. However, PV cells...

Electroencephalography (EEG) is a non invasive technique for recording the scalp potentials that reflects the synchronous neural activity. This study explores a complete EEG to text framework that spans the data acquisition, preprocessing, feature extraction, supervised classification and for the symbolic...

In the present Photovoltaic (PV) systems, a great deal of research is being done to increase its efficiency. These researches are focused on maximizing the utilization of the solar spectrum by using either suitable PV materials and their combination or PV hybrids. In one of the types of PV hybrid, thermoelectric...

The prevalence of mental health issues like anxiety and depression is increasing globally. An early detection can play a major role in improving treatment results. Electroencephalogram (EEG) and physiological signals are combined in multimodal machine learning frameworks to provide a strong and reliable...

Schizophrenia is a chronic mental illness, which is characterized by impairment of thoughts, percepts, affect, and behaviors, as a result of which there is significant functional impairment. The standard diagnosis for this condition is greatly dependent upon clinical evaluation, which is inherently time-consuming,...

This study focuses on the evaluation of impacts of the Hydro-Climatic changes and also Anthropogenic about water and water bodies of Subarnarekha river of Jamshedpur region situated in Jharkhand, India. Any human behavior that hinders the utilization of water as a resource could be referred to as water...