Diabetic Retinopathy (DR) refers to the damages endured by retina as an effect of diabetes. DR has become a severe health concern worldwide, number diabetes patients is soaring uncountably. Periodic eye examination allows doctors detect in at early stage initiate proper treatments. Advancements artificial intelligence and camera technology have allowed us automate diagnosis DR, which can benefit millions indeed. This paper inscribes novel method for based on gray-level intensity texture...

Malaria is a contagious disease that affects millions of lives every year. Traditional diagnosis malaria in laboratory requires an experienced person and careful inspection to discriminate healthy infected red blood cells (RBCs). It also very time-consuming may produce inaccurate reports due human errors. Cognitive computing deep learning algorithms simulate intelligence make better decisions applications like sentiment analysis, speech recognition, face detection, prediction. Due the...

Protecting patient privacy and medical records is a legal requirement. Traditional encryption methods fall short of handling the large volume image data their peculiar statistical properties. In this paper, we propose generic framework based on novel arrangement two very efficient constructs, dynamic substitution boxes (S-boxes) chaotic maps. The S-box before after shown to successfully resist chosen plaintext ciphertext attacks. Special precautions are taken fend off reset attack against...

Nowadays under COVID 2019, e-learning has become a potential prop approach of technology in education that provides contemporary learners with authentic knowledge acquisitions. As practical contribution, electronic examination (e-exam) is novel designed to solve traditional issues. It combination assorted questions by specialized software detect an individual's performance. Despite intensive research this area, the performance e-exams faces challenges such as authentication examinee's...

Volunteer computing based data processing is a new trend in healthcare applications. Researchers are now leveraging volunteer power to train deep learning networks consisting of billions parameters. Breast cancer the second most common cause death women among cancers. The early detection may diminish risk patients. Since diagnosis breast manually takes lengthy time and there scarcity systems, development an automatic system needed for cancer. Machine models widely used prediction research...

Every aspect of the 21st century has undergone a revolution because Internet Things (IoT) and smart computing technologies. These technologies are applied in many different ways, from monitoring state crops moisture level soil real-time to using drones help with chores such as spraying pesticides. The extensive integration both recent IT conventional agriculture brought phase 4.0, often known agriculture. Agriculture intelligence automation addressed by However, advancement about digital...

This article presents the circularly polarized antenna operating over 28 GHz mm-wave applications. The suggested has compact size, simple geometry, wideband, high gain, and offers circular polarization. Afterward, two-port MIMO are designed to get Left Hand Circular Polarization (LHCP) Right-Hand (RHCP). Four different cases adopted construct of antenna. In case 1, both elements placed parallel each other; in second case, element is but radiating patch rotated by 180°. third orthogonally...

In the rapidly evolving field of natural language processing, demand for efficient automated text summarization systems that not only distill extensive documents but also capture their nuanced thematic elements has never been greater. This paper introduces FuzzyTP-BERT framework, a novel approach in extractive synergistically combines Fuzzy Topic Modeling (FuzzyTM) with advanced capabilities Bidirectional Encoder Representations from Transformers (BERT). Unlike traditional methods,...

With the prevalence of Aerospace Technologies, regulations cybersecurity are becoming smarter, assured, and long-lasting. Modern communication network technologies have enormous growth in cyber threats masquerading attacks to steal data. Hence concepts mechanisms built made into for a safer environment. Unmanned aerial vehicles (UAVs), often known as drones, increasingly common, posing new problems areas such monitoring, agriculture, weather prediction, surveillance other fields. This...

<abstract> <p>The use of advanced technologies has increased drastically to maintain any sensitive records related education, health, or finance. It helps protect the data from unauthorized access by attackers. However, all existing face some issues because their uncertainties. These have lapses provide privacy, attack-free, transparency, reliability, and flexibility. characteristics are essential while managing like educational certificates medical certificates. Hence, we...

An optimized design with real-time and multiple realistic constraints in complex engineering systems is a crucial challenge for designers. In the non-uniform Internet of Things (IoT) node deployments, approximation accuracy directly affected by parameters like density coverage. We propose novel enhanced differential crossover quantum particle swarm optimization algorithm solving nonlinear numerical problems. The based on hybrid using PSO. Differential evolution operator used to circumvent...

The world is experiencing an unprecedented crisis due to the coronavirus disease (COVID-19) outbreak that has affected nearly 216 countries and territories across globe. Since pandemic outbreak, there a growing interest in computational model-based diagnostic technologies support screening diagnosis of COVID-19 cases using medical imaging such as chest X-ray (CXR) scans. It discovered initial studies patients infected with show abnormalities their CXR images represent specific radiological...

Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet Vehicles (IoV). The IoV been associated with IoT revolution and become an active field research due need, addition increase various applications vehicle communication. AI provides unique solutions enhance quality services (QoS) performance systems well. In this paper, some concepts related deep learning networks will be discussed one...

In recent times, energy related issues have become challenging with the increasing size of data centers. Energy problems are becoming more and serious growing Green cloud computing (GCC) becomes a platform which aimed to handle utilization in Load balancing is generally employed optimize resource usage, throughput, delay. Aiming at reduction centers GCC, this paper designs an efficient scheduling using Cultural emperor penguin optimizer (CEPO) algorithm, called EERS-CEPO GCC environment. The...

Abstract Cloud computing has drastically changed the delivery and consumption of live streaming content. The designs, challenges, possible uses cloud for are studied. A comprehensive overview technical business issues surrounding cloud‐based is provided, including benefits computing, various architectures, challenges that service providers face in delivering high‐quality, real‐time services. different techniques used to improve performance video streaming, such as adaptive bit‐rate multicast...

Extractive summarization, a pivotal task in natural language processing, aims to distill essential content from lengthy documents efficiently. Traditional methods often struggle with capturing the nuanced interdependencies between different document elements, which is crucial producing coherent and contextually rich summaries. This paper introduces Multi-Element Contextual Hypergraph Summarizer (MCHES), novel framework designed address these challenges through an advanced hypergraph-based...

Voice over Internet Protocol (VoIP) provides good services through Vehicular Ad-hoc Networks (VANET) platform. These networks encounter various challenges to support voice calls with acceptable Quality of Service (QoS). The Optimized Link State Routing (OLSR) is used investigate the performance VoIP applications in VANET network. network was tested before and after running OLSR algorithm, testing focused on (QoS) parameters like end-to-end delay, delay variation (jitter), probability packet...

Robots are most widely used to replace human contribution with machine generated response. When humans interact robots, its mandatory for both forecast actions based on current conditions. Huge efforts have been channelized towards attaining this perfect coordination. To decipher complex environments, the inference of robotic mobility and alteration random unstructured scenarios is a complicated task in field visual processing imaging. address issue, new Vision-Based Interaction Model deep...

In the age of information overload, ability to distill essential content from extensive texts is invaluable. DeepExtract introduces an advanced framework for extractive summarization, utilizing groundbreaking capabilities GPT-4 along with innovative hierarchical positional encoding redefine extraction. This manuscript details development DeepExtract, which integrates semantic-driven techniques analyze and summarize complex documents effectively. The structured around a novel tree...

A novel enhanced quantum particle swarm optimization algorithm for IIoT deployments is proposed. It provides connectivity, reduced energy consumption, and optimized delay. We consider heterogeneous scenarios of network topologies optimal path configuration by exploring exploiting the hunts. uses multiple inputs from into bio-inspired techniques. The differential evolution operator crossover operations are used information interchange among nodes to avoid trapping local minima. different...

In recent times, Internet of Things (IoT) and Cloud Computing (CC) paradigms are commonly employed in different healthcare applications. IoT gadgets generate huge volumes patient data domain, which can be examined on cloud over the available storage computation resources mobile gadgets. Chronic Kidney Disease (CKD) is one deadliest diseases that has high mortality rate across globe. The current research work presents a novel cloud-based CKD diagnosis model called Flower Pollination Algorithm...

The future directions and challenges for 6G-enabled wireless communication IoT applications are mainly focused on quality of service (QoS). selection criteria mobility management (MM) protocol the total duration delay packet loss rate during MM procedure. This is called intelligent handover (IH) to designate a relay with minimum delay. To solve problem handover, media access control (MAC) protocols used provide an QoS in real-time application mobility. Moreover, changing parameter find best...