Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Several loop patterns found in binary code. حسب Alba Pedro-Zapater (8600382)

Service Coverage Optimization for Facility Location: Considering Line-Of-Sight Coverage in Continuous Demand Space حسب XIAOYA MA (12164486)

Simulation of dense parameter pairs and optimal model output. حسب Yen-Ju Chen (354876)

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

Each figure displays the bootstrap distribution of the predicted average amount of crimes per quadrant (Panel A) and predicted sum of crimes in the city (Panel B) under the base sc... حسب Douglas Newball-Ramírez (18143942)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

Improved LMedS-based for sag measurement accuracy of transmission lines via PSO method حسب Xingzhi Ren (21400870)

"…In this study, a self-developed sag measurement platform is proposed, along with a sag measurement model that incorporates spatial coordinate transformation. Furthermore, a transmission line sag measurement method based on an improved Least Median of Squares (LMedS) algorithm is introduced. …"

Graphical implementation of the links. حسب Thibault Rolland (14833626)

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

Table3_Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE.XLS حسب Yanhua Fu (13521214)

Table2_Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE.xls حسب Yanhua Fu (13521214)

Table1_Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE.XLS حسب Yanhua Fu (13521214)

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... حسب Ramsés Noguez Imm (6658637)

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

Optimal Time Intervals of Breech Births Dataset حسب Emma Spillane (11249121)

Analysis and design of algorithms for the manufacturing process of integrated circuits حسب Sonia Fleytas (16856403)

"…From this, we propose: (i) a new ILP model, and (ii) a new solution representation, which, unlike the reference work, guarantees that feasible solutions are obtained throughout the generation of new individuals. Based on this new representation, we proposed and evaluated other approximate methods, including a greedy algorithm and a genetic algorithm that improve the state-of-the-art results for test cases usually used in the literature. …"

Summary of LITNET-2020 dataset. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"