The rapid growth of urban populations has exacerbated energy waste, resource inefficiency, and environmental degradation in contemporary cities, necessitating crucial, smart building solutions. This paper examines the incorporation of the Internet of Things (IoT) in intelligent buildings to facilitate sustainable urban development. The study helps ...

By Dawakit Lepcha, Kanchan Thakur

The digitalization of healthcare is fast, bringing about abundant and diverse medical data with novel opportunities to bring precise healthcare with the help of artificial intelligence (AI) associated analytics. Traditional methods of data analysis in medical fields frequently do not describe nonlinear and complex relationships in multimodal clinic...

By B. Senthilkumaran, Gajraj Singh, Ali Bostani, S. Krithika, Zarina Khalbayeva, R. Ushasree, P. Nanthini

In the dynamic environment of the high-technology production, the supply chain and financial risks management have become more important to maintain the continuity of the operations and profitability. Although a large amount of data is available, most industries continue to struggle to use this data to optimize all risks holistically. In this paper...

By Priya Sethuraman, M. Kalaivani, K. Latha, B. Kiruthiga

The rapid growth of cloud-based and large-scale network infrastructures has increased the complexity and frequency of cyber-attacks, demanding efficient and scalable intrusion detection systems (IDS). This paper will also attempt to create a better Network Intrusion Detection System (NIDS) by incorporating a Hybrid Median Attribute Clustering model...

By Rajasekhar Kaseebhotla, Raghava Rao, Mallikarjuna Rao

Rapid and accurate assessment of civic infrastructure following a natural or artificial disaster is essential to planning emergency response and recovery. This paper introduces a control system based on deep reinforcement learning (DRL) to coordinate unmanned aerial vehicle (UAV) swarms and methodically approach the post-disaster infrastructure ins...

By Moti Ranjan Tandi, Archana Mishra

Down Syndrome (DS) is a genetic disorder due to a partial copy of the 21 st chromosome in the fetus, usually detected by invasive techniques like Amniocentesis and Chorionic Villus Sampling (CVS) which have chances of miscarriage. This paper suggests a completely automated and computer-aided method of non-invasive detection of DS by ultrasound fetu...

By V. Gokulakrishnan, S. Selvakumar

Agriculture is the most advanced civilian profession. However, farmers in India continue to use traditional agricultural supervision approaches, resulting in water failure problems. Currently, Automatic irrigation systems using humidity detectors, rain sensors, and temperature sensors are used for effectively managing water in an agricultural field...

By G.K Monica Nandini

In many different manufacturing techniques, additive manufacturing technologies have proven to be quite useful for developing a prototype model in wide range of applications. In that technique, Fused Deposition Modeling (FDM) is one of the concern favorite methods used in industries, because it can create complex structures at a low cost.  FDM...

By M Prasath, P.S Sampath, C Saravanan, R Gokul, J Hari Prakash

One step toward lowering traffic accidents is identifying the locations of road accident hotspots and the appropriate assessment technique. This study evaluated the effectiveness of kernel density estimation (KDE) and the weighted severity index (WSI) in locating blackspots using the ArcGIS tool. Finding out accident severity levels is necessary to...

By Nishant Singh, Sunil Kumar Katiyar

This research strives to explore the impact of technological advancements which have transformed logistics services in Saudi Arabia in line with Vision 2030 goals. It examines key technologies viz. Big Data, Internet of Things (IoT), Blockchain, autonomous vehicles and drones etc. which have enhanced operational efficiency, reduced costs and improv...

By Mohammed Ibrahim Alattas