AI-driven demand forecasting for enhanced energy management in renewable microgrids: A hybrid LSTM-CNN approach by Bashiru olalekan ariyo, mutalub adesina lambe, olalekan ogunbiyi, musa abdulwaheed, bilkisu jimada ojuolape, monsurat omolara balogun

“…These results significantly outperform conventional forecasting methods, such as ARIMA and exponential smoothing, highlighting the model's enhanced accuracy and ability to address key challenges in renewable energy forecasting. …”
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Kernel Density Based Spatial Clustering of Applications with Noise by Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

“… Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a widely used clustering algorithm renowned for its ability to identify clusters of arbitrary shapes and detect noise. …”
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A Comparative Study of Evolutionary Strategies for Aggregation Tasks in Robot Swarms: Macro- and Micro-Level Behavioral Analysis by Paolo Pagliuca, Alessandra Vitanza

“…In this work, we compared three modern evolutionary strategies — Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES), Exponential Natural Evolution Strategies (xNES) and OpenAI Evolutionary Strategy (OpenAI-ES) — for their ability to evolve an aggregation behavior in a swarm of robots. …”
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Degradation of Crude Oil by Microbial Populations of Lagos Lagoon Water Microcosms by Olumide Omotosho

“…This study identified three hydrocarbon-utilising bacteria (THUB-1-3) and two fungal strains (THUF-1-2) and demonstrated their ability to degrade crude oil. The growth profile of these isolates showed exponential growth, with the bacterial consortium achieving a maximum concentration of 9.9 × 10⁶ cfu/ml on day 28. …”
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Efficient Chromatic-Number-Based Multiqubit Decoherence and Crosstalk Suppression by Amy F. Brown, Daniel A. Lidar

“…The performance of quantum computers is hindered by decoherence and crosstalk, which cause errors and limit the ability to perform long computations. Dynamical decoupling is a technique that alleviates these issues by applying carefully timed pulses to individual qubits, effectively suppressing unwanted interactions. …”
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Non-replicating Mycobacterium tuberculosis elicits a reduced infectivity profile with corresponding modifications to the cell wall and extracellular matrix. by Joanna Bacon, Luke J Alderwick, Jon A Allnutt, Evelina Gabasova, Robert Watson, Kim A Hatch, Simon O Clark, Rose E Jeeves, Alice Marriott, Emma Rayner, Howard Tolley, Geoff Pearson, Graham Hall, Gurdyal S Besra, Lorenz Wernisch, Ann Williams, Philip D Marsh

“…A key feature of Mycobacterium tuberculosis is its ability to become dormant in the host. Little is known of the mechanisms by which these bacilli are able to persist in this state. …”
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

“…Abstract Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. …”
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XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation by Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel

“…Thus, the benefit of our method over other methods is its ability to produce more meaningful saliency maps. …”
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Solitary waves, bifurcation, chaos, sensitivity, and multistability of electrical transmission line model by Muhammad Abdaal Bin Iqbal, Muhammad Zubair Raza, Maasoomah Sadaf, Ghazala Akram, Muhammad Yousaf, Homan Emadifar, Wael W. Mohammed, Karim K. Ahmed

“…In addition, we conduct a sensitivity analysis to determine how minor modifications in the system affect its overall behavior, which in turn provides greater insight into its robustness and ability to respond to perturbations. By varying the initial conditions, we analyze multistability, which highlights the system’s ability to display multiple stable states influenced by choosing suitable parametric values. …”
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Experimental Study on Water-Sand Seepage Characteristics in Fractured Rock Mass under Rheological Effect by Jiarui Chen, Hai Pu, Jianxiong Liu, Jihua Zhang, Peitao Qiu, Wenhu Gu, Qirong Li, Zhendong Chen

“…It was found that when the porosity of a fractured rock mass is within a certain range, the water-sand mixed fluid does not completely pass through the fractured rock mass and some sand particles are filtered by the fractured rock sample. There is an exponential relationship between the sand breaking ability and the sand filtration ability of fractured rock and its initial porosity, and the permeability of fractured rock decreases by a certain extent after sand filtration. …”
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Nanowaste in the aquatic environment – threats and risk countermeasures by Bozena Mrowiec

“…The rapid advancement of nanotechnology has led to an exponential increase in the production and application of engineered nanomaterials (ENMs) across diverse industries, inevitably resulting in the generation of nanowaste. …”
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Forecasting high-impact research topics via machine learning on evolving knowledge graphs by Xuemei Gu, Mario Krenn

“…The exponential growth in scientific publications poses a severe challenge for human researchers. …”
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Enhancing the Harrow-Hassidim-Lloyd (HHL) algorithm in systems with large condition numbers by Peniel Bertrand Tsemo, Akshaya Jayashankar, K. Sugisaki, Nishanth Baskaran, Sayan Chakraborty, V. S. Prasannaa

“…Although the Harrow-Hassidim-Lloyd (HHL) algorithm offers an exponential speedup in system size for treating linear equations of the form Ax[over ⃗]=b[over ⃗] on quantum computers when compared to their traditional counterparts, it faces a challenge related to the condition number (κ) scaling of the A matrix. …”
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…In the field of robotic arm trajectory imitation learning, Gaussian Mixture Models are widely used for their ability to capture the characteristics of complex trajectories. …”
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An autonomous microbial sensor enables long-term detection of TNT explosive in natural soil by Erin A. Essington, Grace E. Vezeau, Daniel P. Cetnar, Emily Grandinette, Terrence H. Bell, Howard M. Salis

“…We characterize the autonomous microbial sensor’s ability to detect TNT in a natural soil system, measuring single-cell and population-level behavior over a 28-day period. …”
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Subsampling Algorithms for Irregularly Spaced Autoregressive Models by Jiaqi Liu, Ziyang Wang, HaiYing Wang, Nalini Ravishanker

“…With the exponential growth of data across diverse fields, applying conventional statistical methods directly to large-scale datasets has become computationally infeasible. …”
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A two-strain TB model with multiplelatent stages by Azizeh Jabbari, Carlos Castillo-Chavez, Fereshteh Nazari, Baojun Song, Hossein Kheiri

“…The mathematical analysis is carried out when the waiting periods are modeled via parametrically friendly gamma distributions, a reasonable alternative to the use of exponential distributed waiting periods or to integral equations involving ``arbitrary'' distributions. …”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

“…First, an Adaptive Multipopulation merging Strategy (AMS) is presented, which uses exponential variation and individual location information to divide the population, thus avoiding the premature aggregation of subpopulations and increasing candidate feature subsets. …”
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Limitations and Performance Analysis of Spherical Sector Harmonics for Sound Field Processing by Hanwen Bi, Shaoheng Xu, Fei Ma, Thushara D. Abhayapala, Prasanga N. Samarasinghe

“…Then, due to the violation of the Helmholtz equation, SSHs lack the ability to conduct sound field radial extrapolation, especially for interior cases. …”
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Emerging simulation technologies in global craniofacial surgical training by Divya Mehrotra, A.F. Markus

“…The last few decades have seen an exponential growth in the development and adoption of novel technologies in medical and surgical training of residents globally. …”
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