Developing 3D Convolutional Neural Networks (CNNs) for medical image segmentation is challenging due to the limited number of available labeled medical images and computational resources. Effective design of a 3D CNN requires a better structure ...

Display Omitted

• Proposed a dynamic 3D CNN for medical image segmentation with fewer parameters.
• Implemented search space with various blocks, parameters for encoder–decoder network.
• Employed CSA to search the optimal network structure and training ...

A Wireless Sensor Network (WSN) with multiple sinks alleviates the bottleneck problem of imbalanced energy consumption and leads to improved scalability and convenience in data collection for diverse range of large-scale applications. However, ...

In this paper, a Q-learning algorithm is proposed to improve the performance of the routing in the Wireless Sensor Networks (WSNs). We have also combined transmission power control (TPC) method with Q-learning to further improve the performance. ...

High vehicular mobility, frequent path link disruption and disconnection as well as random distribution of vehicular nodes make the establishment of path link for data dissemination highly challenging and the existing ad hoc routing ...

Inadequate training data is a significant challenge for deep learning techniques, particularly in applications where data is difficult to get, and publicly available datasets are uncommon owing to ethical and privacy concerns. Various approaches, ...

This paper presents insight into the emerging concept of planar perovskite/silicon heterojunction solar cells. Here, we report optimum efficiency of 26.46% for Pt/p-CH₃NH₃PbI₃/n-cSi/Ag and 25.95% for Al/n-CH₃NH₃PbI₃/p-cSi/Au heterojunction solar ...

Renewable Energy Sources (RESs) are gaining considerable attention to reduce human dependence on fossil fuels and minimize harmful gases in our surroundings. Existing literature on energy trading focused on providing renewable energy to smart homes, smart ...

In this paper, Piecewise Linear Chaotic Map is investigated as a diffusion model to be used in image encryption. In the proposed model, first, the image is decomposed and mixed with a random number. Next, a shuffling engine shuffles it followed by ...

There are various high-dimensional engineering and scientific applications in communication, control, robotics, computer vision, biometrics, etc.; where researchers are facing problem to design an intelligent and robust neural system which can process ...

In the past decade or so, we have seen traffic congestion become a ginormous issue in the major cities of the world, the main reasons for the above being exponential growth in vehicle purchases, constant unplanned maintenance of the road networks, ...

Prominently, DvHop-inspired range-free localization yields poor results due to ill-measured hop parameters (hop count, hop size). Therefore, instead of fully relying on hop parameters, proposed optimized localization in large-scale heterogeneous ...$\mathrm{}\mathrm{}\mathrm{}$$\mathrm{}$

Software systems have become an integral part of all the organizations. These systems are performing many critical operations. A defect in these systems affects the product quality and the software development process. Prediction of the impact ...

Classification of software defects is an important task to know the type of defects. It helps to prioritize the defects, to understand the cause of defects for improving the process of software defect management system by taking the appropriate ...

Image denoising is the key component in several computer vision and image processing operations due to unavoidable noise in the image generation process. For medical image processing, deep convolutional neural networks (CNN) gives a ...

• An automated medical image denoising model for designing CNN architectures using DE.

In a battlefield, a base station is always interested to track the real‐time location of moving war‐fighters and other armaments because of its strategic importance. The base station estimates their real‐time location by using the collected ...

The proposed MWLP‐DP is a stochastic localization of war‐fighters and armaments in GPS dark phase in IoBT. The MWLP‐DP is conceptualized on the basis of “get me home capability” defined by “The Army Operating Concept 2020–2040: Winning in a Complex World.”...

Micro-electromechanical relays with lower switching voltage are always a promise. In such relay, switching operation requires not only stable contact but also a reliable opening of the closed contacts. Therefore, stability against operational collapsing ...

With ever-increasing, internet-connected devices provide an opportunity to fulfil the attacker’s malicious intention. They use malicious programs to compromise the devices and use them to infect others also. The security researchers ...

• A CNN based model is proposed to classify malware into their families.
• The ...

RTS/ CTS protocol serves multihop wireless networks poorly due to its single-hop design. TDMA protocol surpasses RTS/ CTS but unable to solve the dynamic needs of wireless networks. Though dynamic TDMA fulfills the performance gap of TDMA but ...

Predominantly, GPS-free localization algorithms are either predictive or probabilistic or range-dependent which outrage energy source and computing power of sensor-nodes. Whereas, comparatively less complex algorithms based on range-independent ...

A news recommendation system not only must recommend the latest, trending, and personalized news to the users but also give opportunity to know about the people's opinion on trending news. Most of the existing news recommendation systems focus on ...