Accurate prediction of photocatalytic degradation in TiO2 reactors remains challenging due to the time-consuming, labor-intensive, and costly nature of experimental investigations, as well as the limited ability of conventional models. The degradation of benzoic acid was investig…
Abstract Nowadays, a big photovoltaic (PV) farm is operating to use solar energy as a source of electricity. Finding and estimating electrical problems on these farms is crucial to ensure the system is reliable, extract the maximum energy from it, and minimize maintenance costs.…
Abstract Lithium-ion batteries rely on the state of charge (SOC) as a key indicator of remaining energy and overall battery condition, making it essential for efficient operation in energy storage systems. However, SOC cannot be measured directly, and its estimation is often affe…
Source code and raw experimental data supporting the paper "A Hardware-Validated Permissioned Blockchain-Edge Security Framework for Industrial IoT Smart Spaces" (submitted to IEEE Transactions on Industrial Informatics, 2026). Includes: (1) the Hyperledger Fabric v2.4.9 chaincod…
Breast cancer is a global health concern, and early detection through screening programs is crucial for reducing mortality. Deep Convolutional Neural Networks (CNNs) are widely adopted for image classification, but their accuracy depends on the number of layers, structure paramet…
Photovoltaic (Solar) panels, i.e., PV cells, are the most effective and economical renewable energy source generator. However, their power generation efficiency depends heavily on the cleanliness of their surfaces. The dust, snow, and bird drop cover the panel surface, reducing e…
Fast and reliable data exchange is essential for connected and autonomous vehicles, particularly in platooning scenarios where vehicles travel in close formation and depend on timely updates for safety and traffic efficiency. Actor–critic reinforcement learning can exhibit unstab…
Restorative dentistry has completely changed as a result of dental implants, which have improved the consistency and durability of treatment for edentulism and tooth loss. In order to promote osseointegration and guarantee optimal function and aesthetics, the intrinsic properties…
This paper provides an optimal method for cell location of DSTATCOMs as well as TCSCs in an IEEE bus network to improve voltage stability and power losses, especially dealing with RES, such as PV arrays and wind turbines. The placement optimization problem is solved using a new h…
Cancer remains the second leading cause of death globally, with brain tumors exhibiting some of the lowest survival rates among all cancer types. Accurate diagnosis, guided by the tumor’s structure and location, is essential for selecting appropriate treatment strategies and impr…
Abstract Agriculture is crucial for food security but is severely threatened by crop disease and climate variability and causes severe yield loss. As the population grows worldwide, quick and accurate disease detection is critical. Deep learning, in particular through transfer le…
This paper presents a thorough analysis of the application of convolutional neural networks (CNNs) for sophisticated X-ray fracture classification. Traditional fracture detection and classification methods frequently suffer from limited accuracy and effectiveness, necessitating t…
Spatial Modulation (SM) is a promising technique for future wireless communication systems, as it reduces hardware cost and complexity while maintaining good bit error rate (BER) performance in MIMO systems. However, in real-world scenarios, systems often face challenges like ant…
This paper aims to develop predictive models for the thermal properties of laboratory-prepared hot mix asphalt (HMA) specimens using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The thermal properties investigated include thermal conductivity, thermal diffusivity, and speci…
Early machine learning prediction improves patient health and prevents heart disease, one of the leading causes of morbidity worldwide. However, challenges such as noise and incomplete data often obscure patterns critical for accurate predictions, and single-classifier models may…
This paper presents a novel spaced-dual-band filter based on ridge-gap waveguide (RGW) technology, designed with a cascaded structure of two ridge-gap waveguide units. The filter offers two distinct passbands, separated by a frequency gap of 4 GHz. In comparison to spaced-dual-ba…
A non-invasive brain-computer interface is an innovative approach to a control device without physical execution. Electroen-cephalography (EEG) is the key for these applications. However, classifying EEG signals using fewer computational models is challenging for these applicatio…
This paper presents a new spatial modulation framework for future wireless communication networks by combining Generalized Quadrature Spatial Modulation (GQSM) with improved Quasi-Orthogonal Space-Time Block Codes (QOSTBC). The proposed detection method employs channel-matched fi…
The construction industry significantly contributes to environmental degradation, with many structures exhibiting high carbon footprints throughout their construction processes and lifespans. Activities such as cement hydration and other common construction practices substantiall…
The rapid advancement of drone technology has revolutionized both the civilian and military sectors, enabling a wide range of applications, from commercial deliveries to battlefield reconnaissance. However, the misuse of drones has introduced significant security threats, necessi…
Accurate and efficient classification of bone fractures from X-ray images is crucial for timely diagnosis, effective treatment planning, and improved patient outcomes in orthopedic medicine. Convolutional neural networks (CNNs) have demonstrated their ability to automatically ext…
The study proposes a transdisciplinary approach integrating knowledge from fields such ascomputer science, botany, and data science to classifying leaf diseases. We integrated two deep-learningmodels that combine the strengths of the Inception network and the ResNet architecture…
This chapter explores the potential of applying AI and data analytics to transform manufacturing. It provides an overview of new research trends in smart manufacturing, including the use of IoT, big data, and advanced AI technologies like machine learning and digital twins. The c…
Digital twins offer virtual representations of patients by integrating diverse data modalities to enable personalized diagnostics and treatments. This chapter explores augmenting patient digital twins with machine learning for enhanced clinical decision support. Beginning with th…
Wireless communication has revolutionized the evolution of humankind. The rapid growth and development of mobile communication has created an ecosystem better than what has been before. However, issues such as ample energy consumption and resulting carbon emissions, a lack of pro…
The Internet of Things (IoT) has experienced exponential expansion, raising questions about its sustainability and environmental impact. In response, the developing discipline of Green Internet of Things(GreenIoT) seeks to address these problems by encouraging energy-saving and e…
Abstract. Electroluminescence (EL) imaging of photovoltaic solar cells can detect and classify solar panel faults. This method allows technicians and manufacturers to identify defective panels that may affect performance and longevity. However, noise in EL images and solar cell s…
A Smart grid stability analysis is essential for ensuring modern power systems' reliable and secure operation. This approach helps identify potential instabilities and disturbances that can lead to blackouts or equipment failures. By analyzing the stability of the grid, operators…
The shortest path forwarding is not provided by OpenFlow. The benefit of using OpenFlow is that programmers can control the network devices by writing different applications. This research paper deals with the design of the shortest path algorithm using the RYU controller and Ope…
Autonomy of breast cancer classification is a challenging problem, and early diagnosis is highly important. Histopathology images provide microscopic-level details of tissue samples and play a crucial role in the accurate diagnosis and classification of breast cancer. Moreover, a…
Fabric defects can significantly impact the quality of a textile product. By analyzing the types and frequencies of defects, manufacturers can identify process inefficiencies, equipment malfunctions, or operator errors. Although deep learning networks are accurate in classificati…
The mobility and connective capabilities of unmanned aerial vehicles (UAVs) are becoming more and more important in defense, commercial, and research domains. However, their open communication makes UAVs susceptible to undesi... | Find, read and cite all the research you need on…
Object detection is one of the cutting-edge tools of computer vision to present the content of an image or video frame. Object recognition describes the entire scene in the frame. So many sophisticated algorithms are available to detect and recognize the object in the frame. The…
This paper explains about the experimental evaluation of thermophysical properties, heat transfer coefficient, Nusselt number, friction factor, and thermal performance factor of water -based reduced graphene oxide (rGO) nanofluids passes through a tube under turbulent flow condit…
Potential competing interests: No potential competing interests to declare.This paper presents a project detail of smart stick for visually impaired peoples.Though implementation is validated well, there is no novelty in the work.To make it smarter, you can add object recognition…
Identifying the nature and type of bacteria is essential in diagnosing various fatal diseases and their treatments. Biologists classify bacteria using morphological characterization from microscopic images according to their color and shape information. Therefore, an automated ba…
Voice-controlled devices are in demand due to their hands-free controls. However, using voice-controlled devices in sensitive scenarios like smartphone applications and financial transactions requires protection against fraudulent attacks referred to as "speech spoofing". The alg…
Seawater pollution is a significant global environmental problem. Various technologies and methods have been used to remove the contaminants found in saltwater. This experimental study investigates the degradation of contaminants present in seawater using solar photocatalysis, wh…
Physical issues started to receive more attention due to the sedentary lifestyle prevalent in modern culture. The Ten Meter Walk Test allows measuring the person's capacity to walk along 10 m and analyzing the advancement of various medical procedures for ailments, including stro…
Virtual motion and pose from images and video can be estimated by detecting body joints and their interconnection. The human body has diverse and complicated poses in yoga, making its classification challenging. This study estimates yoga poses from the images using a neural netwo…
Mobile users can use a mobile sensor to record ECG data, and on-device ECG classification can provide a more efficient diagnosis than standard care. Deep Neural Networks (DNNs) have excelled in artificial intelligence (AI)-based applications to extract patterns from the complex w…
A four-element compact dual-band patch antenna having a common ground plane operating at 28/38 GHz is proposed for millimeter-wave communication systems in this paper. The multiple-input-multiple-output (MIMO) antenna geometry consists of a slotted ellipse enclosed within a hollo…
In this study, the heat transfer coefficient, Nusselt number, effectiveness and number of transfer units of water mixed multi-walled carbon nanotubes nanofluids passes through a tube-in-tube heat exchanger was experimentally investigated. Investigations were performed in the oper…
Recently, home automation system has getting significant attention because of the fast and advanced technology, making daily living more convenient. Almost everything has been digitalized and automated. The development of home automation will become easier and more popular becaus…
The minimally invasive surgery uses a small instrument with camera and light to fit the tiny cut in the skin. The selection of the light depends on the power and driving current of the circuit. It can also help in the standardization of the camera and capture the tissues' true-co…
Interconnected three-element and four-element wideband MIMO antennas have been proposed for millimeter-wave 5G applications by performing numerical computations and carrying out experimental measurements. The antenna structure is realized using Rogers 5880 substrate (εr = 2.2, ta…
Palmprints can be characterized by their texture and the patterns of that texture dominate in a vertical direction. Therefore, the energy of the coefficients in the transform domain is more concentrated in the vertical sideband. Using this idea, this paper proposes the characteri…
Background: The advancement in convolutional neural network (CNN) has reduced the burden of experts using the computer-aided diagnosis of human breast cancer. However, most CNN networks use spatial features only. The inherent texture structure present in histopathological images…
This paper embodies the design and development of a compact Coplanar Waveguide (CPW) fed connected ground Multiple- Input-Multiple-Output (MIMO) antennas operating in the sub-millimeter-wave 5G New Radio (NR) n257/n258/n261 bands. The planar geometry leads to a small and compact…