Tuning of PID Controller for Speed Control of DC-Motor by using Generalized Regression Neural Network and Invasive Weed Optimization by Muhammad Hilal, Haider TH. Salim ALRikabi, Ibtisam A. Aljazaery

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Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values. by Gabriel J Odom, Laura Brandt, Clinton Castro, Sean X Luo, Daniel J Feaster, Raymond R Balise, CTN-0094 Team

“…As examples, we provide three algorithms to define primary endpoints from seminal SUD clinical trials.…”
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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. …”
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. Because of its importance in this field, this survey aims to provide a background for researchers interested in detecting malware in drones, discuss recent approaches, depict a taxonomy of constructing approaches, identify existing problems, and explore trends in future work.…”
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Pavement performance model for road maintenance and repair planning: a review of predictive techniques by Krishna Singh Basnet, Jagat Kumar Shrestha, Rabindra Nath Shrestha

“…Researchers generally agree on their accuracy in estimating pavement condition considering factors like traffic, pavement age, and weather conditions. …”
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Parameter Tuning for Local-Search-Based Matheuristic Methods by Guillermo Cabrera-Guerrero, Carolina Lagos, Carolina Castañeda, Franklin Johnson, Fernando Paredes, Enrique Cabrera

“…Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. …”
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Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“… Facial recognition is one of the most important biometrics that many researchers are increasingly studying, as it is used in various applications such as surveillance, security, law enforcement, information, person identification, smart cards, access control, etc. …”
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A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment by Arabinda Pradhan, Sukant Kishoro Bisoy, Amardeep Das

“…To solve those problems many researchers have applied different types of scheduling techniques. …”
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Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review by R. Suganya, L.M.I. Leo Joseph, Sreedhar Kollem

“…This review aims to support researchers and academics by providing a deeper understanding of the environmental and health impact of EVs. …”
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Deep learning based adaptive and automatic measurement of palpebral margin in eyelid morphology by Ali Ahemaiti, Si Chen, Siwen Lei, Li Liu, Muxin Zhao

“…Abstract Accurate anatomical measurements of the eyelids are essential in periorbital plastic surgery for both disease treatment and procedural planning. Recent researches in eye diseases have adopted deep learning works to measure MRD. …”
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General Construction Method and Proof for a Class of Quadratic Chaotic Mappings by Wenxia Xu, Xiangkun Chen, Ziwei Zhou, Guodong Li, Xiaoming Song

“…The importance of chaotic systems as the main pseudo-random cryptographic generator of encryption algorithms in the field of communication secrecy cannot be overstated, but in practical applications, researchers often choose to build upon traditional chaotic maps, such as the logistic map, for study and application. …”
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Enhancing cyber threat detection with an improved artificial neural network model by Toluwase Sunday Oyinloye, Micheal Olaolu Arowolo, Rajesh Prasad

“…Data labeling difficulties, incorrect conclusions, and vulnerability to malicious data injections are only a few drawbacks of using machine learning algorithms for cybersecurity. To overcome these obstacles, researchers have created several network IDS models, such as the Hidden Naive Bayes Multiclass Classifier and supervised/unsupervised machine learning techniques. …”
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Single-Pixel Imaging for Partially Occluded Objects by Jingjing Wu, Lifa Hu, Jicheng Wang

“…In traditional optical imaging system, the lenslet array or the reference beam and special algorithms are usually needed to solve this problem, which increase the complexity of the system. …”
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Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action by Rong Dai, Rui Wang, Chang Shu, Jianming Li, Zhe Wei

“…The aim is to provide a clear roadmap of current progress and future directions, helping researchers and engineers better understand the field and develop smart, deployable systems for infrastructure crack inspection.…”
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Player Performance Analysis in Table Tennis Through Human Action Recognition by Kangnan Dong, Wei Qi Yan

“…To address these issues, in this paper, we combine the latest computer vision and deep learning algorithms to accurately identify and classify a few table tennis strokes in human action recognition. …”
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Analysing learning behaviour: A data-driven approach to improve time management and active listening skills in students by Vinayak Hegde, Vishrutha M, Pallavi M. Shanthappa, Rekha Bhat, Nisha Raveendran, Roshin C

“…After testing multiple ML models with datasets, Random Forest was determined to be the most dependable model by emphasizing algorithms. It demonstrated remarkable durability (0.811012) and accuracy during cross-validation. …”
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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

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Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…These findings provide valuable insights for researchers and engineers seeking to optimize modern DTC system performance according to the specific needs of their applications.…”
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An applied engineering approach to attitude and orbit representations for low-earth-orbiting rigid spacecraft: a comprehensive review by Tamer Mekky Ahmed Habib

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Roads Taken, Not Taken and Halted: A Brief Review of the American Regulations Regarding Youth Social Media Use by Krystyna Mokrzycka

“…Concern continues to grow over social media design: endless scrolling, personalised algorithms and addictive features increasingly compete for the users’ attention, facilitating the risk of harm. …”
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