Development of an efficient mixed mode heart disease detection model using machine learning and deep learning techniques by Reddy C. Ravi Shankar, A Niranjan, Kumari P.V. Gopi, Rajendra Babui Y.

“…The findings suggest that this mixed mode method attain accuracy of 96% while other techniques taken for comparison purpose limit their accuracies to a maximum 89%.…”
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Classical Simulability of Quantum Circuits with Shallow Magic Depth by Yifan Zhang, Yuxuan Zhang

“…Our research provides new techniques to simulate highly magical circuits while shedding light on their complexity and their significant dependence on the magic depth.…”
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Gaussian Pulse-Based Two-Threshold Parallel Scaling Tone Reservation for PAPR Reduction of OFDM Signals by Lei Guan, Anding Zhu

“…In this paper, we propose an efficient approach, called two-threshold parallel scaling, for implementing a previously proposed Gaussian pulse-based Tone Reservation algorithm. Compared to conventional approaches, this technique significantly reduces the hardware implementation complexity and cost, while also reducing signal processing time delay by using just two iterations. …”
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Notes on Recent Achievements in Proving Stability using KeYmaeraX by Thomas Baar, Horst Schulte

“…A closed-loop control system consists of a plant and a controller. While the plant is basically an aggregation of continuous variables whose values change over time accordingly to physical laws, the controller can be seen as an algorithm formulated in a classical programming language. …”
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Fuzzy Logic Unmanned Air Vehicle Motion Planning by Chelsea Sabo, Kelly Cohen

“…With an appropriate dynamic motion planning algorithm, UAVs would be able to maneuver in any unknown environment towards a target in real time. …”
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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…These results highlight the superior detection accuracy of the proposed network while maintaining computational efficiency.…”
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Field Evaluation of an Autonomous Mobile Robot for Navigation and Mapping in Forest by Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, Alessandro Gasparetto

“…Field experiments conducted in a wooded area in Udine, Italy, using a skid-steered mobile robot, demonstrate the effectiveness of the system in navigating, while avoiding obstacles (even in cases where the Global Navigation Satellite System signal is not reliable). …”
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Reinforcement learning-driven task migration for effective temperature management in 3D noc systems by Jingyi Tang, Jun Hong

“…The rise in temperature will result in diminished dependability and performance decline, thus necessitating the construction of thermal management algorithms for these systems. This study presents an algorithm for this goal that is based on task migration. …”
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A Lightweight AI-Based Approach for Drone Jamming Detection by Sergio Cibecchini, Francesco Chiti, Laura Pierucci

“…Our approach outperforms the standard Isolation Forest model in the detection of both constant and periodic jamming attacks, while still correctly identifying nominal traffic. …”
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Controllable gliders in a nanomagnetic metamaterial by Arthur Penty, Johannes H. Jensen, Ida Breivik, Anders Strømberg, Erik Folven, Gunnar Tufte

“…Employing an evolutionary algorithm, we discover the snake, a glider in pinwheel ASI. …”
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Optimized Offloading in Vehicular Edge Computing: A Game Theoretic Analysis by Abdelkarim Ait Temghart, Mbarek Marwan, Mohamed Baslam

“…Additionally, a best response-learning algorithm is designed based on the computation offloading game model. …”
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Microsimulation framework for urban price-taker markets by Bilal Farooq, Eric J. Miller, Franco Chingcuanco, Martin Giroux-Cook

“…Here, we present a microsimulation framework of a price-taker market that recognizes this generality and develop efficient algorithms for the associated market-clearing problem. …”
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Particle Swarm Optimization on Parallel Computers for Improving the Performance of a Gait Recognition System by Shahla A. Abdulqader, Hasmek A. Krekorian

“…In recent years, the gait recognition (GR) using particle swarm optimization (PSO) algorithm (OSO) has been execute very fast and accurate with single computer, but with the appearance of parallel computing (PC), it was necessary to use this technique to improve the results of GR. …”
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Distribution and classification of macrozoobenthos in Peter the Great Bay of Japan Sea in relation to contamination of bottom sediments by A. V. Moshchenko, T. A. Belan, B. M. Borisov

“…By these parameters, using the fuzzy sets algorithm, the taxa are classified to five groups: i) extremely sensitive; ii) highly sensitive; iii) moderately tolerant; iv) tolerant; and v) extremely tolerant to pollution (ES, S, MT, T and ET, respectively). …”
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Efficient Wideband Characterization of Low-Height RF Substrates Using a Destructive Measurement Approach by Georges Zakka El Nashef, Abdel Karim Abdel Karim, Sawsan Sadek

“…The method utilizes traditional resonant structures to accurately determine essential parameters—relative permittivity and loss tangent—and delivers reliable results even in the presence of unavoidable fabrication imperfections, thereby enhancing its reliability for RF designers. While it covers a broad frequency range (8–16 GHz), the proposed technique can be adapted for other ranges by modifying the resonant structure dimensions. …”
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Modelling of Green function in a rectangular room based upon the geometrical-filtration model by R. Marczuk, L. Majkut

“…To this end it is necessary to work out an impulse response calculating algorithm for a digital room model. The Green's function is the solution of wave equation then give consideration to source and receiver positions. …”
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A Set-Based Method for Planning Coordinated Trajectories for Skid-Steered Robotic Units Subject to Constraints, Uncertainties, and External Disturbances by Valerio Scordamaglia, Alessia Ferraro

“…The proposed solution aims to define optimal trajectories that can be simultaneously tracked by the robots while ensuring collision-free motion, even in the presence of unavoidable tracking errors due to the limited authority of the control algorithm. …”
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An Analysis of Image Classification Using Wavelet-Based Autoencoder Architecture and Extreme Learning Machine by Salwa Said, Salima Hassairi, Siwar Yahia, Ridha Ejbali, Mourad Zaied

“…Among these methods, Deep Wavelet Autoencoders (AE) and the Deep Wavelet ELM algorithm have been extensively applied in diverse image classification domains. …”
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Bayesian Regression Analysis for Dependent Data with an Elliptical Shape by Yian Yu, Long Tang, Kang Ren, Zhonglue Chen, Shengdi Chen, Jianqing Shi

“…This paper proposes a parametric hierarchical model for functional data with an elliptical shape, using a Gaussian process prior to capturing the data dependencies that reflect systematic errors while modeling the underlying curved shape through a von Mises–Fisher distribution. …”
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A Uniform Clustering Mechanism for Wireless Sensor Networks by Rabia Noor Enam, Rehan Qureshi, Syed Misbahuddin

“…For example, for a cooperative data aggregation, it necessitates variable or large sized packets while the aggregations, based on spatial correlation of sensor nodes, cannot be exploited easily. …”
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