Worldwide, Cancer remains a significant health concern due to its high mortality rates. Despite numerous traditional therapies and wet-laboratory methods for treating cancer-affected cells, these approaches often face limitations, including costs substantial side effects. Recently the selectivity of peptides has garnered attention from scientists their reliable targeted actions minimal adverse Furthermore, keeping outcomes existing computational models, we propose highly effective model...

Micro-energy harvesting (MEH) is a technology of renewable power generation which key for hosting the future low-powered electronic devices wireless sensor networks (WSNs) and, Internet Things (IoT). Recent technological advancements have given rise to several resources and technologies that are boosting particular facets society. Many researchers now interested in studying MEH systems ultra-low IoT sensors WSNs. A comprehensive study will help manage single as source multiple The popular...

Data preprocessing is crucial in the Machine Learning pipeline because models' learning ability directly affects quality of data and underlying information acquired from this stage. Nevertheless, surprisingly, there are many alternatives for each transformation task, which makes an inexperienced user overwhelmed. A simple Python-based Auto-preprocessing architecture Automated developed to offer automated, interactive, data-driven support help users perform tasks efficiently. The suggested...

In recent years, there has been a global growing demand for Islamic knowledge by both Muslims and non-Muslims. This brought about number of automated applications that ease the retrieval from Holy Book, being major source Knowledge in Islam. However, current methods Quranic domain lack adequate semantic search capabilities; they are mostly based on keywords matching approach. There is linked data to provide better description concepts found Quran. this study we propose an Ontology assisted...

Artificial Neural Networks (ANNs) play an essential role in artificial intelligence to explore and simulate the traffic behaviour on road network safety. In this study, eight cluster as input variables one output were utilize performance of model. Input predictors involved conflict, vehicle category, second vehicles passing right turn motor (RMV), first speed limit, gap pattern, day time, infrastructure. Meanwhile (RMV). Network Fitting apply Machine Learning has been implemented measure...

Nowadays, e-commerce is growing fast, so product reviews have grown rapidly on the web. The large number of makes it difficult for manufacturers or businesses to automatically classify them into different semantic orientations (positive, negative, and neutral). Most existing method utilize a list opinion words sentiment classification. whereas, this paper propose fuzzy logic model perform classifications customers review following sub-classes: very weak, moderate, strong by combinations...

A chatbot is a software application aimed at simulating real-time conversations. This system has been designed to address plethora of domains where they have proved themselves worthy complement or in some areas replace human-based information acquisition. Though like travel and food advanced with the growing consumer demand, healthcare-based does require significant advancement issue medical accessibility. The work aims providing suitable dataset as well proposes prototype architecture....

Diabetes, a prevalent chronic metabolic disorder, poses significant burden on healthcare systems worldwide.Accurate and timely diagnosis is crucial for effective management complication prevention.Machine learning presents promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases.To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), method that enhances synthetic sample quality...

In recent years, there is global demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about number of automated applications that ease the retrieval from holy books. However current methods lack semantic information they are mostly base on keywords matching approach. this paper we have proposed a Model will make use Web technologies (ontology) to model Quran domain knowledge. The system enhance enabling queries in natural language.

Nowadays traffic congestion has become significantly worse. Not only it led to economic losses, but also environmental damages, wastage of time and energy, human stress pollution. Generally, is a ripple effect road on neighboring roads. When occurs, will propagate through the network due increasing flow. One complexities unpredictability, thus difficult represent flows by numerical equations. possible approach use spatial historical data flow relate them with condition (congestion or clear)...

In Cross-Language Information Retrieval (CLIR) process, the translation effects have a direct impact on accuracy of follow-up retrieval results. dictionary-based approach, we are dealing with words that more than one meaning which can decrease performance if query return an incorrect translations. These issues need to be overcome using efficient technique. this study proposed method based domain ontology Quran concepts for disambiguating and improve translation. For experimentation, use...

With the continuing economic growth of developing countries, populations their urban areas are increasing dramatically. In view this trend, optimization bus service scheduling has become an important task. The efficiency a transport system depends on several different planning processes, and balance between these elements is rather complex. paper, we consider timetabling vehicle allocation as bases for our work. aim providing reliable to passengers at reasonable cost, focus schedule using...

With the continued demand for Islamic knowledge, which is mainly based on Quran as a source of knowledge and wisdom, systems that facilitate an easy search content remain considerable challenge. Although in recent years there have been tools search, most these are keyword meaning user needs to know correct keywords before being able retrieve Quran. In this paper, we propose system supports end querying exploring ontology. The comprises query reformulation against ontology stored annotated...

This paper describes a methodology for analysing the operation of transport buses, using simplified generic approach. In recent years, location systems that utilize GPS data have become widespread, including their use monitoring buses. this paper, we simplify bus routes, process, present new insights K-means, and enhance effectiveness. The primary focus work is collection, subsequent analysis reporting, in schedule adjustments resource allocation. experimental study obtained from public...