Enhancing Performance and Stability of Wing-Alone UAV: A Comprehensive Mathematical Model and Simulation Approach Using MATLAB and Simulink by G. Ramanan, N. Rahul, V. E. Sathishkumar, Indraraj Upadhyaya

“…The UAV’s weight components, including battery, propulsion, and structural weights, were analyzed, demonstrating a 12% reduction in power requirements during climb at optimal angles of attack. Performance analyses revealed a maximum rate of climb at 3.5 m/s and optimal aerodynamic efficiency for minimum drag at a cruise velocity of 25 m/s. …”
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A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games by Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan

“…Central to classical game theory is the efficient algorithmic computation of Nash equilibria, which represent optimal strategies for both players. …”
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Efficient dynamic task offloading and resource allocation in UAV-assisted MEC for large sport event by Chen Peng, Qiqi Wang, Desheng Zhang

“…We formulate the problem as a long-term stochastic optimization problem. To address this issue, we propose the efficient dynamic resource allocation (EDRA) algorithm. …”
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Finding large independent sets in networks using competitive dynamics by M. N. Mooij, I. Kryven

“…However, it remains unclear whether collective behaviour among biological species can also lead to solutions for computational tasks. By studying the coexistence of species that interact through simple rules on a network, we demonstrate that the underlying dynamical system can recover near-optimal solutions to the maximum independent set problem – a fundamental, computationally hard problem in graph theory. …”
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Finding the Shortest Path with Vertex Constraint over Large Graphs by Yajun Yang, Zhongfei Li, Xin Wang, Qinghua Hu

“…In this paper, we first propose a novel exact heuristic algorithm in best-first search way and then give two optimizing techniques to improve efficiency. …”
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Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error-Correction Codes by Tom Peham, Ludwig Schmid, Lucas Berent, Markus Müller, Robert Wille

“…Known circuit constructions of this scheme are mostly obtained manually, and no algorithmic techniques for constructing depth- or gate-optimal circuits exist. …”
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Efficient off-chip configuration method for scalable programmable photonic integrated circuits by ZeYang Fan, JunMin Lin, Tian Zhang, Jian Dai, XingYuan Xu, Kun Xu

“…Here, we propose a complete off-chip method based on the combination of gradient descent and genetic algorithms to find the optimal configuration for an arbitrary matrix, enabling imperfect circuits to achieve excellent performance. …”
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Hybrid multi-objective node deployment for energy-coverage problem in mobile underwater wireless sensor networks by Salmah Fattah, Ismail Ahmedy, Mohd Yamani Idna Idris, Abdullah Gani

“…This study evaluated the solution to substantiate its efficacy, particularly regarding the nodes’ coverage rate, energy consumption and the system’s Pareto optimal metrics and execution time. The results and comparative analysis indicate that the Multi-Objective Optimisation Genetic Algorithm based on Adaptive Multi-Parent Crossover and Fuzzy Dominance (MOGA-AMPazy) is a better solution to the multi-objective sensor node deployment problem, outperforming the non-dominated sorting genetic algorithm II, SPEA2 and MOEA/D algorithms. …”
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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

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Implementation and Performance of Lightweight Authentication Encryption ASCON on IoT Devices by Gabriela Cagua, Valerie Gauthier-Umana, Carlos Lozano-Garzon

“…Lightweight cryptographic algorithms have emerged to address these challenges, with ASCON gaining recognition for its robustness and efficiency. …”
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An efficient video slice encryption scheme and its application by Qinyou Huang, Luping Wang, Jie Chen

“…To address this issue, we propose a novel video security encryption scheme that optimally balances encryption speed and security. We introduce a scheme for video fragmentation, design corresponding sorting and merging algorithms, and construct a video transmission framework compatible with this scheme. …”
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A Scheduling Problem in the Baking Industry by Felipe Augusto Moreira da Silva, Antonio Carlos Moretti, Anibal Tavares de Azevedo

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Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

“…Advancements in quantum algorithms for predictive learning, self-optimization through more integrated machine learning models, and the development of standardised interoperability protocols to facilitate wider industrial usage are all areas that will be investigated in future research.…”
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A Secure COVID Affected CT Scan Image Encryption Scheme Using Hybrid MLSCM for IoMT Environment by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Gyanendra Kumar

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Free-form型机床切齿优化（二）——混合进化遗传算法 by 张艳红, 郭九生, 王小椿

“…The effectiveness of the algorithms is verified by both real and computer simulation.…”
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Ranking of post-quantum cryptography digital signature schemes using evaluation based on distance from average solutions by Anitha Kumari Kumarasamy, Jaishriram Pichaikutty Muthu, Darshan Kirthic Muthusamy Sadhasivam, Pranavv Aaditya Mohanraj

“…To address this, a novel approach based on Evaluating Distance from Average Solution (EDAS) can be employed to rank the PQC algorithms based on the compromise score computed within the algorithm. …”
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Bioregionalization analyses with the bioregion R package by Pierre Denelle, Boris Leroy, Maxime Lenormand

“…The recent emergence of global databases, improvements in computational power and the development of clustering algorithms coming from the network theory have led to several major updates of the bioregionalizations of many taxa. …”
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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

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Ecological and Real-Time Route Selection Method for Multiple Vehicles in Urban Road Network by Liping Yan, Yue Tang, Chan Peng, Yu Cai, Wenbo Zhang, Jing Wang

“…Therefore, an ecological multivehicle real-time route selection model (EMR2SM) for urban road networks is firstly proposed in this paper, which combines real-time traffic conditions of the road network with travel time, distance, and exhaust emissions as optimization indicators. In order to solve the large-scale computation problem of traditional negotiated algorithms, an adaptive multiswarm bee colony (AMSBC) algorithm is designed, which efficiently solves the multivehicle dynamic route selection problem. …”
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Efficient Real-Time Object Detection and Classification Using mmWave Radar and Jetson Xavier NX by Mohamed Lamane, Abdessamad Klilou, Mohamed Tabaa

“…This paper associates a mmWave radar with a real-time embedded computing platform and proposes a real-time implementation of deep learning algorithms in order to classify the detected objects. …”
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